Preliminary Program as on 04 May2004

The program is updated monthly

Sunday, 25 July        Monday, 26 July        Tuesday, 27 July        Wednesday, 28 July        Thursday, 29 July


SUNDAY, 25 JULY

 

Sunday, 25 July,  18:00        Public Lecture

18:00

Clinical Results with the Model 1 IRP implant

Mark Humayun, D. Yanai, R.J. Greenberg, J. Little, B.V. Mech, M. Mahadevappa, J.D. Weiland, G.Y. Fujii, E. deJuan, Jr.

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MONDAY, 26 JULY

 

Monday, 26 July,  09:00 – 09:20       Opening  Session

Monday, 26 July,  09:20 – 11:00       Joint IJCNN & FUZZ-IEEE Key-note Talks I.

09:00

Precisiated Natural Language (PNL)—Toward an Enlargement of the Role of Natural Languages in Scientific Theories

Lotfi A. Zadeh

10:00

The CNN: a Brain-like Computer

Leon O. Chua

 

11:00-11:20                       Coffee break

Monday, 26 July,  11:20 – 13:00       Joint IJCNN & FUZZ-IEEE Key-note Talks II.

11:20

Patterns, Clusters, and Components - What Data is Made of

Erkki Oja

12:10

Ubiquitous Computing Challenges in Recognizing and Predicting Human Activity

Keneth P. Fishkin

 

13:00-14:30                       Lunch break

Monday, 26 July,  14:30 – 16:30       IJCNN Parallel Sessions

Blind Source Separation (Special Session)

14:30

Trust-Region Learning for ICA

Heeyoul Choi, Sookjeong Kim and Seungjin Choi

14:50

Nonlinear Independent Component Analysis by Homomorphic Transformation of the Mixtures

Deniz Erdogmus, Yadunandana Rao and Jose Principe

15:10

Independent Component Analysis for Semi-blind Signal Separation in MIMO Mobile Frequency Selective Communication Channels

Dragan Obradovic, Nilesh Madhu, Andrei Szabo and Chiu Shun Wong

15:30

A Novel Adaptive Algorithm for the Blind Separation of Periodic Sources

Maria Jafari and Jonathon Chambers

15:50

Single Channel Speech Recovery by Independent Component Analysis

Allan Barros, Edson Nascimento and Noboru Ohnishi

Self Organizing Maps

14:30

Self-Organizing Documentary Maps for Information Retrieval

Qing Ma, Kousuke Enomoto and Masaki Murata

14:50

A Self-organized Growing Network for On-line Unsupervised Learning

Furao Shen and Osamu Hasegawa

15:10

A Time-Based Self-Organising Model for Document Clustering

Chihli Hung and Stefan Wermter

15:30

Analysis of Equine Gaitprint and Other Gait Characteristics using Self-Organizing Maps (SOM)

Ellen Bajcar, David Calvert and Jeff Thomason

15:50

An Attempt in Modelling Early Intervention in Autism Using Neural Networks

Andrew P. Paplinski and Lennart Gustafsson

16:10

Neural Network Models based on Regularization Techniques for off-line Robot Manipulator Path Planning

Dimitrios Karras

Information Based Learning

14:30

Vector-Quantization by Density Matching in the Minimum Kullback-Leibler Divergence Sense

Anant Hegde, Deniz Erdogmus, Tue Lehn-Schioler, Yadunandana Rao and Jose Principe

14:50

Information Theoretic Spectral Clustering

Robert Jenssen, Torbjorn Eltoft and Jose Principe

15:10

Mimimum Entropy, k-Means, Spectral Clustering

Yongjin Lee and Seungjin Choi

15:30

Fast Stochastic Neighbor Embedding: a Trust-Region Algorithm

Kijeong Nam, Hongmo Je and Seungjin Choi

15:50

The e-PCA and m-PCA: Dimensional Reduction of Parameters by Information Geometry

Shotaro Akaho

16:10

Information Maximization with Gaussian ActivationFunctions to Generate Explicit Self-Organizing Maps

Ryotaro Kamimura and Yukiko Maruyama

Sensor Array Processing and Cellular Neural Networks

14:30

An MOS Cell Circuit for Compact Implementation of Reaction-diffusion Models

Koray Karahaliloglu and Sina Balkir

14:50

Feature Extraction CNN Algorithms for Artificial Immune Systems

Gyorgy Cserey, Andras Falus, Wolfgang Porod and Tamas Roska

15:10

A CNN-Gabor Filter with Neural PCA Kernels for Rotation and Scale Invariant Texture Cassification

Chao-Hui Huang and Chin Teng Lin

15:30

Adaptive Perception with Locally-Adaptable Sensor Array

Robert Wagner, Akos Zarandy and Roska Tamas

15:50

Pattern Detection by Cellular Neuronal Networks (CNN) in Long-term Recordings of a Brain Electrical Activity in Epilepsy

Philipp Fischer and Ronald Tetzlaff

16:10

Efficient Off-line Feature Selection Strategies for On-line Classifier Systems

David Balya, Gergely Timar, Istvan Szatmari and Csaba Rekeczky

Chaos, Bifurcations and Neural Networks

14:30

Associative Memory by Hopfield NN with Chaos Injection

Yoko Uwate, Yoshifumi Nishio and Tohru Ikeguchi

14:50

How Chaos Boosts the Encoding Capacity of Small Recurrent Neural Networks : Learning Consideration

Colin Molter, Utku Salihoglu and Hugues Bersini

15:10

Synthesis Method of Neural Oscillators by Network Learning

Yasuaki Kuroe, Kei Miura and Takehiro Mori

15:30

Global Behavior of Neural Error Correction

Michael Stiber and Thomas Holderman

15:50

Pattern Recovery in Networks of Recursive Processing Elements with Continuous Learning

Emilio Del Moral Hernandez, Humberto Sandmann and Leandro Silva

16:10

On Stability and Tuning of Neural Oscillators: Application to Rhythmic Control of a Humanoid Robot

Artur Arsenio

Monday, 26 July,  14:30 – 16:30       FUZZ-IEEE Parallel Sessions

Fuzzy Systems Applications (Invited Special Track)   1. Toward Intelligent Human Robot Interface 2. Control

14:30

A 'Personalized' Facial Expression Recognition with Fuzzy Similarity Measure and Novel Feature Selection Method

Dae-Jin Kim and Zeungnam Bien

14:50

Facial Action Detection from Dual-View Static Face Images

Maja Pantic and Leon Rothkrantz

15:10

Facial Caricature Drawing Using Subjective Image of a Face Obtained by Words

Takehisa Onisawa and Yusuke Hirasawa

15:30

Facial Expression Classification based on MPEG-4 FAPs: The use of Evidence and Prior Knowledge for Uncertainty Removal

Manolis Wallace, Amaryllis Raouzaiou, Nicolas Tsapatsoulis and Stefanos Kollias

15:50

On-line Identification of MIMO Evolving Takagi-Sugeno Fuzzy Models

Plamen Angelov, Costas Xydeas and Dimitar Filev

16:10

Fuzzy Logic for Plant Monitoring and Diagnostics

Oscar Castillo and Patricia Melin

Learning from Data (Invited Track) 1. Inductive Learning

14:30

Towards Learning in Parallel Universes

Michael Berthold and David Patterson

14:50

Getting adaptability or expressivity in inductive logic programming by using fuzzy predicates

Mathieu Serrurier and Prade Henri

15:10

Participatory Learning: A Paradigm for More Human Like Learning

Ronald Yager

15:30

Information Measures in Fuzzy Decision Trees

Xiaomeng Wang and Christian Borgelt

15:50

Imprecise Nested Granular Complexes

Lawrence Mazlack

16:10

Ranking by Pairwise Comparison: A Note on Risk Minimization

Eyke Huellermeier

Innovative Trends in Mathematical Models of Imprecision (Invited)

14:30

Fuzzy Rough Sets: Beyond the Obvious

Martine De Cock, Chris Cornelis and Etienne E. Kerre

14:47

An algebraic characterisation of fuzzy rough sets

Anna Maria Radzikowska and Etienne E. Kerre

15:04

An Approach to Roughness of Fuzzy Sets

Van Nam Huynh and Yoshiteru Nakamori

15:21

On the Lattice Structure of Preclusive Rough Sets

Gianpiero Cattaneo and Davide Ciucci

15:38

Painting algorithms for fuzzy classification

Daniel Gomez, Javier Montero, Javier Yanez and Carmelo Poidomani

15:55

On Measuring Association Between Preference Systems

Pzemyslaw Grzegorzewski

16:12

Subsethood Measure for Intuitionistic Fuzzy Sets

Przemyslaw Grzegorzewski and Edyta Mrowka

Clustering and Image Processing (Part I)

14:30 

Scalable Clustering: A Distributed Approach

Prodip Hore and Lawrence Hall

14:47 

Validating Clusters using the Hopkins Statistic

Amit Banerjee and Rajesh Dave

15:04 

Fuzzy Canonical Correlation and Cluster Analysis for Brain Mapping on Long Term Memory Consolidated by Mnemonics

Hidetomo Ichihashi, Katsuhiro Honda and Araki Shoichi

15:21 

Heuristic Extraction of Fuzzy Classification Rules Using Data Mining Techniques: An Empirical Study on Benchmark Data Sets

Hisao Ishibuchi and Takashi Yamamoto

15:38

On the Min-transitive Approximation of Symmetric Fuzzy Relations

Peter Dawyndt, Hans De Meyer and Bernard De Baets

15:55

A Fuzzy Approach to White Blood Cells Segmentation in Color Bone Marrow Images

Eduard Montseny, Pilar Sobrevilla and Santiago Romani

16:12

A New Hybrid c-Means Clustering Model

Nikhil Pal, Kuhu Pal, Jim Keller and Jim Bezdek 

 

 

16:30-17:00                       Coffee break

Monday, 26 July, 17:00 – 19:00        IJCNN Parallel Sessions

Appl. of Blind Source Separation and Independent Comp Anal (ENNS Spec. Sess.)

17:00

Analysis of Auditory fMRI Recordings via ICA: A Study on Consistency

Jarkko Ylipaavalniemi and Ricardo Vigario

17:20

Time-frequency Blind Signal Separation: Extended Methods, Performance Evaluation for Speech Sources

Yannick Deville, Matthieu Puigt and Benoit Albouy

17:40

ICA for Modelling and Generating Organ Pipes Self-sustained

Angelo Ciaramella, Enza De Lauro, Salvatore De Martino, Mariarosaria Falanga and Roberto Tagliaferri

18:00

Blotch Removal in Degraded Digital Video Using Independent Component Analysis

Michele Ceccarelli and Alfredo Petrosino

18:20

Comparative Performance Analysis of Eight Blind Source Separation Methods on Radiocommunications Signals

Pascal Chevalier, Laurent Albera, Pierre Comon and Anne Ferreol

18:40

Linguistic Feature Extraction using Independent Component Analysis

Timo Honkela and Aapo Hyvarinen

Datamining

17:00

Value Estimation Based Computer-Assisted Data Mining for Surfing the Internet

Balint Gabor, Zsolt Palotai and Andras Lorincz

17:20

Extracting the Knowledge Embedded in Support Vector Machine

Xiuju Fu, ChongJin Ong, S. Sathiya Keerith, Gih Guang Hung and Liping Goh

17:40

Initialization of Cluster Refinement Algorithms: A Review and Comparative Study

Ji He, Man Lan, Chew-Lim Tan, Sam-Yuan Sung and Hwee-Boon Low

18:00

AMIFS: Adaptive Feature Selection by Using Mutual Information

Michel Tesmer and Pablo A. Estevez

18:20

An Adaptable Connectionist Text Retrieval System with Relevance Feedback

Mahmood Azimi-Sadjadi, Jaime Salazar, SaravanaKumar Srinivasan and Sassan Sheedvash

18:40

Fuzzy Hidden Markov Predictor in Electric Load Forecasting

Marcelo Andrade Teixeira and Gerson Zaverucha

Evolutionary Computing and Neural Networks

17:00

Studying the Capacity of Cellular Encoding to Generate Feedforward Neural Network Topologies

Gutierrez German, Galvan Ines, Molina Jose M and Sanchis Araceli

17:20

A Relational Multi-Objective Genetic Algorithm

Sum Wai Lee and Hung-Tat Tsui

17:40

Using Support Vector Machines in Multi-Objective Optimization

Yeboon Yun, Hirotaka Nakayama and Masao Arakawa

18:00

Bayesian Evolution of Rich Neural Networks

Matteo Matteucci and Dario Spadoni

18:20

Generic Neural Markup Language: Facilitating the Design of Theoretical Neural Network Models

Talib Hussain

18:40

Co-Evolutionary Particle Swarm Optimization Applied to the 7x7 Seega Game

Ashraf Abdelbar, Sherif Ragab and Sara Mitri

Vision and Image Processing

17:00

Extracting Symmetry Axes: a Neural Network Model

Kunihiko Fukushima and Masayuki Kikuchi

17:20

Neural Coding Model of Perceptual Reconstruction Using the Morphoelectrotonic Transform Theory

Norifumi Watanabe and Shun Ishizaki

17:40

A Virtual Exploring Mobile Robot for Left Ventricle Contour Tracking

Faiza Admiraal-Behloul, Boudewijn .P.F. Lelieveldt, Luca Ferrarini, Hans Olofsen, Rob van der Geest and J.H.C Reiber

18:00

Influences of Target Discrimination Capability on Hand Tracking

Yasuhiro Takachi, Fumihiko Ishida and Yasuji Sawada

18:20

Active Learning System for Object Fingerprinting

Swarup Medasani, Narayan Srinivasa and Yuri Owechko

18:40

Connectionist Based Dempster-Shafer Evidential Reasoning for Data Fusion

Hongwei Zhu and Otman Basir

Recurrent Neural Networks

17:00

High Capacity Associative Memories and Small World Networks

Neil Davey and Rod Adams

17:20

Simple Algorithm for Recurrent Neural Networks That Can Learn

Istvan Szita and Andras LorinczSequence Completion

17:40

Context Discerning Multifunction Networks: Reformulating Fixed Weight Neural Networks

Roberto Santiago

18:00

Training of the Dynamic Neural Networks via Constrained Optimisation

Krzysztof Patan

18:20

A New Condition for Global Robust Exponential Periodicity of Interval Neural Networks with Delays

Changyin Sun, Derong Liu and Chun-Bo Feng

18:40

A Recurrent Neural Network for Solving Variational Inequality Problems with Nonlinear Constraints

Youshen Xia and Jun Wang

Monday, 26 July, 17:00 – 19:00        FUZZ-IEEE Parallel Sessions

Applications (Invited Special Track). 3. Information Technology

17:00

Fuzzy and Probabilistic Models of Association Information in Sensor Networks

Leon Reznik and Vladik Kreinovich

17:20

Fuzzy Logic Enabled Software Agents for Supervisory Control

Janos Grantner, George Fodor and Ramakrishna Gottipati

17:40

A Fuzzy Discrete Event System for HIV/AIDS Treatment Planning

Hao Ying, Feng Lin, Xiaodong Luan, Rodger MacArthur and Jonathan Cohn

18:00

Trust Evaluation within a Type-2 Fuzzy Logic Framework

Devinder Kaur and Dominic Wilson

18:20

A Hybrid System for Multi-Agent Exploration

Cindy Leung and Adel Al-Jumaily

18:40

Coastal Environmental Management by Fuzzy System Modeling

Gilberto Pereira, Alexandre G. Evsukoff, Ricardo Coutinho and Nelson F. F. Ebecken

Models in Learning from Data (Invited Special Track) 2.  Rule-based systems

17:00

Detecting Ambiguities in Regression Problems Using TSK Models

Arup Nandi and Frank Klawonn

17:20

Contextual Generic association rules visualization using hierarchical fuzzy meta-rules

Sadok Ben Yahia and Engelbert Mephu Nguifo

17:40

Genetic Tuning on Fuzzy Systems Based on the Linguistic 2-Tuples Representation

Rafael Alcala and Francisco Herrera

18:00

Mining Fuzzy Rules for Time Series Classification

Wai-Ho Au and Keith Chan

18:20

Choosing the best predicates for data-driven fuzzy modeling

Mario Drobics

18:40

Fuzzy Pattern Matching with Adaptive Bin Width Histograms to Maximize Classification Performances

Moamar Sayed Mouchaweh, Patrice Billaudel and Bernard Riera

Imprecision Modeling with Non-Standard Logics (Invited) + Fuzzy Algebra

17:00

A Context-Based Interpretation of Linguistic Variables

Van Nam Huynh and Yoshiteru Nakamori

17:20

A Note on Fuzzy Granular Reasoning

Tetsuya Murai, Yasuo Kudo, Van Nam Huynh, Akira Tanaka and Kudo Mineichi

17:40

Incoherent Objects and Fuzzy Sets

Germano Resconi

18:00

Non-Monotonic Reasoning in Prioritized Knowledge Bases Based on Granular Reasoning

Yasuo Kudo and Tetsuya Murai

18:20

Novel Analysis and Design of Fuzzy Inference Systems Based on Lattice Theory

Vassilis Kaburlasos and Athanasios Kehagias

18:40

Interpretability Improvement of Input Space Partitioning by Merging Fuzzy Sets Based on an Entropy Measure

Shang-Ming Zhou and John Q. Gan

 Interaction and Intelligence 1. (Invited)

17:00

Visual Perception for A Partner Robot Based on Computational IntelligenceComputational Intelligence

Naoyuki Kubota

17:20

Behavior Learning of A Partner Robot with A Spiking Neural Network

Hironobu Sasaki and Naoyuki Kubota

17:40

Sensor Selection based on Fuzzy Inference for Sensor Fusion

Futoshi Kobayashi, Daisuke Masumoto and Fumio Kojima

18:00

Networked Intelligence by using Ontology

Eri Sato, Toru Yamagchi and Fumio Harashima

18:20

Methods to manipulate the output of dissociated living neuronal network in vitro by the electrical input

Suguru Kudoh and Takahisa Taguchi

18:40

Localization of brain activity during perception of disk movement by use of equivalent current dipole analysis

Takahiro Yamanoi, Hisashi Toyoshima, Masatoshi Yamazaki and Shin-ichi Ohnishi

Monday, 26 July,  20:00 – 22:00       IJCNN Special Session

Comput. Brain Science & Neuroinformatics in Asian Pacific Countries

20:00

Japanese Neuroinformatics Project in Vision and RIKEN BSI

Shiro Usui and Shun-ichi Amari

20:20

Neuroinformatics: the Development of Shared Neuroscience Databases and Tools at the Australian National Neuroscience Facility

Gary Egan

20:40

Excerpts of Research in Brain Sciences and Neural Networks in Singapore

Jagath C. Rajapakse, Dipti Srinivasan, Meng Joo Er, Guang-Bin Huang and Lipo Wang

21:00

Korean Brain Neuroinformatics Research Program : The 3rd Phase

Soo-Young Lee

21:20

Japan's Center-of-Excellence Program: Two COE's for Brain Science/Technology

Minoru Tsukada, Takeshi Yamakawa and Syozo Yasui

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TUESDAY, 27 JULY

 

Tuesday, 27 July , 08:30 - 09:50        IJCNN Plenary talks

08:30

Challenges and Opportunities for Analog Neural Processing in the Deep SubMicron SoC Era

Angel Rodriguez Vazquez

 09:10

Nanoelectronic Neuromorphic Networks (CrossNets): New Results

Konstantin Likharev

Tuesday, 27 July, 09:00 - 09:50        FUZZ-IEEE Plenary talk

 

Structured Learning for Partner Robots

Naoyuki Kubota

 

 

09:50-10:10                       Coffee break

Tuesday, 27 July , 10:10 - 12:10        IJCNN Parallel Sessions

Retina Prosthesis Symposium Part 1

10:10

Information Transmission from a Retina Implant to the Cat Visual Cortex 

Reinhard Eckhorn, Marcus Eger, Marcus Wilms, Thomas Schanze

10:50

Concerning the Mapping of ambiguous Retinal Output Vectors onto unambiguous Visual Percepts Rolf Eckmiller, D. Neumann, O. Baruth

11:30

Complex synaptic activation of bipolar, amacrine and ganglion cells is elicited with biphasic electrical stimulation

Shelley Fried, T. Kubow, Frank S. Werblin

Support Vector Machines and Kernel Methods I

 10:10

Comparison of Loss Functions for Robust Linear Regression

Vladimir Cherkassky and Yunqian Ma

10:30

Non-crossing Quantile Regressions by SVM

Ichiro Takeuchi and Takeshi Furuhashi

10:50

A New Method for Multiclass Support Vector Machines

Davide Anguita, Sandro Ridella and Dario Sterpi

11:10

Spatially Chunking Support Vector Clustering Algorithm

Tao Ban and Shigeo Abe

11:30

Exploiting Diversity of Margin-based Classifiers

Enrique Romero, Xavier Carreras and Lluis Marquez

11:50

Scaling up Support Vector Data Description by Using Core-Sets

Calvin Chu, Ivor Tsang and James Kwok

Modeling Attention & Emotion in Humans & Agents (ENNS Special Session)

 10:10

Modelling Human Attention and Emotions

John Taylor and Nickolaos Fragopanagos

10:30

The Effect of Emotional Bias in Attentional Processes

Nickolaos Fragopanagos and John Taylor

10:50

Adaptation of Facial Feature Extraction and Rule Generation in Emotion-Analysis Systems

Spiros Ioannou, Amaryllis Raouzaiou, Kostas Karpouzis and Stefanos Kollias

11:10

Knowing What and Where: A Computational Model for Visual Attention

Kaustubh Chokshi, Christo Panchev, Stefan Wermter and John Taylor

11:30

Attention-based Learning

Stathis Kasderidis and John Taylor

11:50

Graphical Models for Brain Connectivity from Functional Imaging Data

Xuebin Zheng and Jagath C. Rajapakse

Spiking Neuron Network

   10:10

Extending SpikeProp

Benjamin Schrauwen and Jan Van Campenhout

10:30

Spike Train Decoding Scheme for a Spiking Neural Network

Hesham Amin and Robert Fujii

10:50

Dual Threshold Based Neural Modeling to Study Systems of Spiking Neurons

Krzysztof Cios and Jeffrey Lovelace

11:10

Emerging Evolutionary Features in Noise Driven STDP Networks?

Zsolt Palotai, Gabor Szirtes and Andras Lorincz

11:30

Organization of Cell Assemblies that Code Temporal Sequences in a Hippocampal CA3-CA1 Model

Motoharu Yoshida and Hatsuo Hayashi

Face Detection and Recognition

10:10

SVM Classification Tree Algorithm with Application to Face Membership Authentication

Shaoning Pang

10:30

Face Recognition Methods Based on Principal Component Analysis and Feedforward Neural Networks

Milos Oravec

10:50

Empirical Comparison and Evaluation of classifier Performance for data mining in Customer Relationship Management

Sven F. Crone, Stefan Lessmann and Robert Stahlbock

11:10

Real-time Face Shape and Position Recognition by a Two-D Spreading Associative Neural Network

Kiyomi Nakamura, Hironobu Takano and Tsukasa Sakamoto

11:30

Face Identification System using One Hidden Markov Model with a Single Sample Image

Hung-Son Le and Haibo Li

Tuesday, 27 July , 10:10 - 12:10        FUZZ-IEEE Parallel Sessions

Applications (Invited Special Track). 4. Finances, Vision, Biomedical

 10:10

Fuzzy Modeling within the Statistical Process Control Framework

Dimitar Filev and Janice Tardiff

10:27

Evolution of Intelligent Agent in Auction Market

Jong Yih Kuo and Jonathan Lee

10:44

Image Fusion using Fuzzy Logic and Applications

Harpreet Singh, Jyoti Raj, Gulsheen Kaur and Thomas Meitzler

11:01

Environmental Applications of Fuzzy Logic - Special Workshop "Fuzzy System Applications"

Yannis Phillis, Vassilis Kouikoglou, Luc Andriantiatsaholiniaina and Xiaomin Zhu

11:18

A Fuzzy Confidence Value for DNA Bases

Rency Varghese, Mohamad Musavi and Habtom Ressom

11:35

A User-Oriented Fuzzy System for Components Packaging and Systems Integration

Stuart H. Rubin and Wei Dai

11:52

Application of Fuzzy Logic Principles to the Classification of 2D-PAGE Maps Belonging to human Pancreatic Cancers Treated with Trichostatin-A

Emilio Marengo, Elisa Robotti, Daniela Cecconi, Aldo Scarpa and Pier Giorgio Righetti

Learning from Data (Invited Special Track) 3  Learning from Clustering

   10:10 

FUZZSAM -- Visualization of Fuzzy Clustering Results by Modified Sammon Mapping

Janos Abonyi and Robert Babuska

10:30

Fuzzy Ant Clustering with Centroids

Parag Kanade and Lawrence Hall

10:50

A New Approach for Fuzzy Clustering of Web Documents

Menahem Friedman, Moti Schneider, Mark Last, Omer Zaafrany and Abraham Kandel

11:10

Fuzzy clustering for selecting structure of nonlinear models with mixed

Daniela Girimonte and Robert Babuska

11:30

Descriptive Concept Extraction with Exceptions by Hybrid Clustering

Marie-Jeanne Lesot and Bernadette Bouchon-Meunier

11:50

On Constructing Probabilistic Fuzzy Classifiers from Weighted Fuzzy Clustering

Uzay Kaymak and Jan van den Berg

Soft Computing in Cyber Security (Invited) + Applications

   10:10 

A Road Map of Knowledge Management for Network Security and Roles of Soft Computing

Atsushi Inoue and Anca Ralescu

10:30

Support Vector Classifiers and Network Intrusion Detection

John Mill and Atsushi Inoue

10:50

Potential Application of Training Based Computation to Intrusion Detection

Kosuke Imamura and Kris Smith

11:10

Utilizing Soft Computing in a Distributed Network of Embedded Computer Security Appliances

John Shovic and Ioanna Dionysiou

11:30

A Hybrid System for Modeling Credit Ratings for US Airports

Salwa Ammar and Ronald Wright

11:50

Combination of fuzzy identification algorithms applied to a column flotation process

Susana Vieira, Joao M. Sousa and Fernando Durao

Interaction and Intelligence 2. (Invited)

   10:10 

A Formulation of Receptive Field Type Input Layer for TAM Network Using Gabor Function

Isao Hayashi, Hiromasa Maeda and James R. Williamson

10:34

Fuzzy Adaptive Search Method for Parallel Genetic Algorithm with Combined Sub-Populations

Yoichiro Maeda and Masahide Ishita

10:58

A Memory-based Neural Network Model for Efficient Adaptation to Dynamic Environments

Seiichi Ozawa and Kenji Tsumori

11:22

Dynamical Optimal Learning for FNN and Its Applications

HuaJin Tang, KayChen Tan and T. H. Lee

11:46

A proposal of CMAC with Foresight Knowledge Layer For Heterogeneous Multi-agent System

Yukinobu Hoshino, Akira Sakakura and Katsuari Kamei

 

12:10-14:00                       Lunch break

Tuesday, 27 July, 14:00 - 16:00        IJCNN Parallel Sessions

Retina Prosthesis Symposium Part 2

14:00

In vivo evaluations of retinal prostheses

DJ. Salzmann, P. Linderholm, M. Paques, M. Simonutti, J.A. Chiappore, A.B. Safran, P. Renaud, J. Sahel, Serge Picaud

14:40

Design of a new subretinal implant for prosthetic vision
John Wyatt

15:20

From passive to active subretinal implants, serving as adapting electronic substitution of degenerated photoreceptors
Eberhard Zrenner, V.P. Gabel, F. Gekeler, H.G. Graf, H. Gruber, H. Hammerle, K. Kohler W. Nisch, H. Sachs, H. Sailer, K. Shinoda, A. Stett, B. Wilhelm

Least Squares Support Vector Machines (Special Session)

14:00 

Adaptive Selective Kernel Learning Algorithms

Anthony Kuh

 14:20 

A Sparse Least Squares Support Vector Machine Classifier

Jozsef Valyon and Gabor Horvath

 14:40 

Comparison of four Support-Vector based Function

Bas J. de Kruif and Theo J. A. de Vries

 15:00 

Speeding up the IRWLS Convergence to the SVM Solution

Fernando Perez-Cruz and Antonio Artes-Rodriguez

 15:20 

Primal Space Sparse Kernel Partial Least Squares Regression for Large Scale Problems

Luc Hoegaerts, Johan A. K. Suykens, Joos Vandewalle and Bart De Moor

 15:40 

Mapping LSSVM on Digital Hardware

Davide Anguita, Andrea Boni and Alessandro Zorat

Cognitive Information Processing

14:00 

„Object Permanence'': Results From Developmental Robotics

Yi Chen, Weng Juyang and Huang Xiao

 14:20 

Estimating Driving Performance Based on EEG Spectrum and Fuzzy Neural Network

Ruei Cheng Wu, Chin Teng Lin, Sheng Fu Liang and Tzyy Ping Jung

 14:40 

An Associator Network Approach to Robot Learning by Imitation through Vision, Motor Control and Language

Mark Elshaw, Cornelius Weber, Alex Zochios and Stefan Wermter

 15:00 

Assessing Similarity of Emergent Representations Based on Unsupervised Learning

Juha Raitio, Ricardo Vigario, Jaakko Sarela and Timo Honkela

 15:20 

Combining Visual and Proprioceptive Information in a Model of Spatial Learning and Navigation

Ricardo Chavarriaga and Wulfram Gerstner

 15:40 

Deep sleep: Understanding the Process of Hippocampal Playback and Plasticity

Matthew Hartley, Neill Taylor and John Taylor

Comput. Theories of Hippocampus Behavior and Intellig. (Special Session)

14:00 

Dendritic Processing in Hippocampal Pyramidal Cells and its Modulation by Inhibitory Interneurons

Szabolcs Kali and Tamas Freund

 14:20 

Functional Role of Entorhinal Cortex in Working Memory and Information Processing of the Medial Temporal Lobe

Erik Fransen

 14:40 

Computing with Oscillations by Phase Encoding and Decoding

Ole Jensen

 15:00 

Neurophysiology of the Primate Hippocampus Leading to a Model of its Functions in Episodic and Spatial Memory

Edmund Rolls and Simon Stringer

 15:20 

Memory Encoding of Object Relocation in a Hierarchical Associative Network with Theta Phase Coding

Naoyuki Sato and Yoko Yamaguchi

 15:40 

An Hypothesis on the Origin of Variable Spatial Scaling Along the Septo-Temporal Axis of the Rodent Hippocampus

Bruce McNaughton, Carol Barnes, Alejandro Terrazas and Francesco Battaglia

Pattern Recognition Applications

14:00 

Color and Texture Features for Person Recognition

Michael Haehnel, Daniel Kluender and Karl-Friedrich Kraiss

 14:20 

Comparative Study of Connectionist Techniques for Implementing the Pattern Recognition System of an Artificial Nose

Marcelo B. de Almeida and Marcilio C. P. de Souto

 14:40 

Segmenting Handwritten Text Using Supervised Classification Techniques

Yi Sun, Tim Butler, Alex Shafarenko, Rod Adams and Neil Davey

 15:00 

Neural Network and Tree Automata for Seismic Pattern Recognition

Kou-Yuan Huang and Yi-Hsiang Chao

 15:20 

Hidden Markov Model Finds Behavioral Patterns of Users Working with a Headmouse Driven Writing Tool

Gyorgy Hevizi, Mihaly Biczo, Barnabas Poczos, Zoltan Szabo, Balint Takacs and Andras Lorincz

 15:40 

Evolving Fuzzy Neural Networks Applied to Odor Recognition in an Artificial Nose

Cleber Zanchettin and Teresa B. Ludermir

Tuesday, 27 July , 14:00 - 16:00   FUZZ-IEEE Parallel Sessions

Soft Computing in Fault Diagnosis and Prognosis (Invited)

14:00

Enhanced Auto-Associative Neural Networks for Sensor Diagnostics (E-AANN)

Massieh Najafi, Charles Culp and Reza Langari 

 14:20

Control Design for Diagnostic and Prognostic of Hardware Systems 

Yang Wang, Francisco Benito, Guillermo Vera and Mo Jamshidi

 14:40

Using Gated Experts in Fault Diagnosis and Prognosis

Hamid Berenji, Yan Wang, David Vengerov, Reza Langari and Mo Jamshidi

 15:00

Neuro-Fuzzy Modeling and Control of Mode Transitions for Unmanned Aerial Vehicles

George Vachtsevanos

 15:20

ANFIS Application to Competition on Artificial Time Series (CATS)

Cameron Potter and Michael Negnevitsky

 15:40

Discovering Gene-Gene Relations from Fuzzy Sequential Sentence Patterns in Biomedical Literature
Jung-Hsien Chiang, Cheng-Yu Chen and Shih-Yi Chao

Learning from Data (Invited Special Track) 4 Industrial Applications

14:00 

Adaptable Markov Models in Industrial Planning

Joerg Gebhardt, Frank Ruegheimer, Heinz Detmer and Rudolf Kruse

 14:20 

Achieving Transparency and Adaptivity in Fuzzy Control Framework: an application to Power Transformers Predictive Overload System

Vincenzo Loia, Lucio Ippolito, Pierluigi Siano and Gianni Acampora

 14:40 

Fuzzy Methods for Automated Intelligent Data Analysis

Detlef Nauck, Martin Spott and Ben Azvine

 15:00 

Extracting Knowledge and Computable Models from Data - Needs, Expectations, and Experience

Thomas Natschlaeger, Felix Kossak and Mario Drobics

 15:20 

Premise Parameter Estimation and Adaptation in Fuzzy Systems with Open-Loop Clustering Methods

Edwin Lughofer and Erich Peter Klement

 15:40 

A Fuzzy Automaton for Control Applications

Muhammad Torabi Dashti

Fuzzy Mathematics (Invited)

14:00 

Minimization of Regret Decision Making with Dempster-Shafer Uncertainty

Ronald Yager

 14:20 

Choquet Integral with Respect to a Regular Non-additive Measure

Yasuo Narukawa and Toshiaki Murofushi

 14:40 

Continuous Choquet Integrals with Respect to Random Sets with Applications to Landmine Detection

Paul Gader, Wen-Hsiung Lee and Andres Mendez-Vasquez

 15:00 

Renyi Entropy with Respect to Choquet Capacities

Paul Gader, Wen-Hsiung Lee and Xuping Zhang

 15:20 

Additions of Completely Correlated Fuzzy Numbers

Christer Carlsson, Robert Fuller and Peter Majlender

 15:40 

A Generalized Vertex Method for Computing with Fuzzy Intervals

Didier Dubois, Helene Fargier and Jerome Fortin

Fuzzy Information Retrieval

14:00 

From Boolean to Fuzzy Algebraic Queries in a Possibilistic Database Framework

Patrick Bosc and Olivier Pivert

 14:20 

A Truth Space Diagram Temporal Linguistic Rule Extraction Procedure Using Multiple Objective Evolutionary Algorithm

Pedro DeLima and Gary Yen

 14:40 

Index Structures for Flexible Querying in Fuzzy Spatial Databases

Aziz Sozer and Adnan Yazici

 15:00 

A Complete Set of Fuzzy Relational Algebraic Operators in Fuzzy Relational Databases

Xiaohui Tang and Guoqing Chen

 15:20 

Fuzzy Logic and Multiobjective Evolutionary Algorithms as Soft Computing Tools for Persistent Query Learning in Tect Retrieval Environments

Oscar Cordon, Felix Moya and Carmen Zarco

 15:40 

Non-additive Grey Relational Model: Case Study on Evaluation of Flexible Pavement

Jia-Ruey Chang, Ching-Tsung Hung, Gwo-Hshiung Tzeng and Jyh-Dong Lin

Tuesday, 27 July, 16:00 - 19:00          IJCNN Poster Sessions & Coffee

Support Vector Machines and Kernel Methods (incl. Special Session S7)

Kernel CMAC with Improved Capability (special session S7)

Gabor Horvath

Direct Kernel Least-squares Support Vector Machines with Heuristic Regularization (special session S7)

Mark Embrechts

Why One-against-All Is Better than All-at-Once (special session S7)

Daisuke Tsujinishi, Yoshiaki Koshiba and Shigeo Abe

Regularization Constants in LS-SVMs: a Fast Estimate via Convex Optimization (special session S7)

Kristiaan Pelckmans, Johan A. K. Suykens and De Moor Bart

Fast Bootstrap applied to LS-SVM for Long Term Prediction of Time Series (special session S7)

Amaury Lendasse, Vincent Wertz, Geoffroy Simon and Michel Verleysen

Support Conformal Vector Machine with Optimal Bayes Point

Eduardo (Edu) Bayro-Corrochano

Kernel-Based Subpixel Target Detection in Hyperspectral Images

Heesung Kwon and Nasser M. Nasrabadi

Non-stationary Data Domain Description using Weighted Support Vector Novelty Detector

Fatih Camci and Ratna Babu Chinnam

Cluster-based Support Vector Machines in Text-Independent Speaker Identification

Sheng-Yu Sun, C. L. Tseng, Y. H. Chen, H. C. Chuang and H. C. Fu

A part-versus-part method for massively parallel training of support vector machines

Bao-Liang Lu, Kai-An Wang, Masao Utiyama and Hitoshi Isahara

Kernel-Based Associative Memory

Dimitri Nowicki and Oleksiy Dekhtyarenko

Self Organizing Maps

Learning and Forgetting - How They Should be Balanced in SOM Algorithm

Youichi Kobuchi and Masataka Tanoue

Cross-Language Information Retrieval using Latent Semantic Indexing and Self-Organizing Maps

Nikolaos Ampazis and Helen Iakovaki

A New Visualization Scheme for Self-Organizing Neural Networks

Cristian Figueroa and Pablo A. Estevez

M-SOM: Matricial Self Organizing Map for Sequences Clustering and Classification

Farida Zehraoui and Younes Bennani

Generational Trends in Obesity in the United States: Analysis with a Wavelet Coefficient Self-Organizing Map

Susan Garavaglia

Adaptive Second Order Self-Organizing Mapping for 2D Pattern Representation

Banchar Arnonkijpanich and Chidchanok Lursinsap

SOM-based Optimization

Mu-Chun Su, Yu-Xiang Zhao and Jonathan Lee

Superposition-Based Order Analysis in Self-Organizing Maps

Laurentiu Hetel, Jean-Luc Buessler and Jean-Philippe Urban

Regional and Online Learnable Fields

Rolf Schatten, Nils Rolf Goerke and Rolf Eckmiller

Non-Eucledian Self-Organizing Classification Using Natural Manifold Distance

Chidchanok Lursinsap and Saichon Jaiyen

Surface Reconstruction using Neural Networks and Adaptive Geometry Meshes

Agostinho de Medeiros Brito Junior, Adriao Duarte Doria Neto and Jorge Dantas de Melo

Generalization of Topology Preserving Maps:

Arpad Barsi

Recurrent Neural Networks

On Stable Learning of Block-Diagonal Recurrent Neural Networks - Part I: The RENNCOM Algorithm

Paris Mastorocostas and John Theocharis

On Stable Learning of Block-Diagonal Recurrent Neural Networks - Part II: Application to the Analysis of Lung Sounds

Paris Mastorocostas and John Theocharis

On Global Exponential Periodicity of Dynamical Neural Systems

Changyin Sun, Dequan Li, Liangzheng Xia and Chun-Bo Feng

Flow Estimation Using Elman Networks

Pedro Coelho, Luiz Biondi Neto, Joao Mello, Lidia Meza and Maria Velloso

A Comparison of First- and Second-Order Training Algorithms for Dynamic Neural Networks

Ferid Bajramovic, Christian Gruber and Bernhard Sick

Backpropagation-Decorrelation: online recurrent learning with O(N) complexity

Jochen J. Steil

A Novel Recurrent Neural Network with Minimal Representation for Dynamic System Identification

Yen-Ping Chen and Jeen-Shing Wang

Cerebellar Model Articulation Controller CMAC

Active Training on the CMAC Neural Network

Luis Weruaga

A Pruning Structure of Self-Organizing HCMAC Neural Network Classifier

Chen Chih-Ming, Hong Chin-Ming and Lu Yung-Feng

The Treatment of Image Boundary Effects in CMAC Networks

Hung-Ching Lu and Ted Tao

Integrated Structure Design for CMAC-Based Fuzzy Logic Controller

Hung-Ching Lu and Jui-Chi Chang

Fault Accommodation for Nonlinear Systems Using Cerebellar Model Articulation Controller

Chih-Min Lin, Yu-Ju Liu, Li-Yang Chen and Chi-Jui Kao

Adaptive Recurrent Cerebellar Model Articulation Controller for Unknown Dynamic Systems with Optimal Learning-Rates

Chih-Min Lin, Ya-Fu Peng, Yu-Ju Liu and Wei-Laing Chin

Associative Memories

Higher Order Differential Correlation Associative Memory of Sequential Patterns

Hiromi Miyajima, Noritaka Shigei and Yasuo Hamakawa

Chaos Associative Memory Model

Masahiro Nakagawa

Chaotic Associative Memory using Distributed Patterns for Image Retrieval by Shape Information

Satoshi Kosuge and Yuko Osana

Vector-Neuron Models of Associative Memory

Boris Kryzhanovsky, Leonid Litinskii and Andrey Mikaelian

A Morphological Auto-Associative Memory based on Dendritic Computing

Gerhard Ritter and Laurentiu Iancu

Influence of Parameter Deviations in An Associative Chaotic Neural Network

Masaharu Adachi

Introduction to Implicative Fuzzy Associative Memories

Marcos Eduardo Valle, Peter Sussner and Fernando Gomide

Properties of a Chaotic Network Separating Memory Patterns

Pawel Matykiewicz

Forms of adapting patterns to Hopfield neural networks with larger number of nodes and higher storage capacity

Emilio Del Moral Hernandez and Clayton Oliveira

Pattern Memory and Acquisition Based on Stability of Cellular Neural Networks

Zeng Zhigang and Huang De-Shuang

Learning and Generalization

Second-Order Generalization

Richard Neville

Searching for Linearly Separable Subsets using the Class of Linear Separability Method

David Elizondo

The Application of OBE to Neural Networks

Yan Jiang, Qing He, Tiaosheng Tong and Werner Dilger

On Learning a Function of Perceptrons

Martin Anthony

On a Generalization Complexity Measure for Boolean Functions

Leonardo Franco and Martin Anthony

Softprop: Softmax Neural Network Backpropagation Learning

Michael Rimer and Tony Martinez

Extreme Learning Machine: A New Learning Scheme of Feedforward Neural Networks

Guang-Bin Huang, Qin-Yu Zhu and Chee-Kheong Siew

Multiple-Start Directed Search for Improved NN Solution

Lee Feldkamp, Danil Prokhorov and Charles Eagen

Over-fitting behavior of Gaussian unit under Gaussian noise

Katsuyuki Hagiwara and Kenji Fukumizu

Multi-Layer Perceptron Learning in the Domain of Attributed Graphs

Brijnesh Jain and Fritz Wysotzki

Model Selection Methods in Multilayer Perceptrons

Elisa Guerrero, Pedro Galindo, Joaquin Pizarro and Andres Yanez

A Study of Removing Hidden Neurons in Cascade-Correlation Neural Networks

Xun Liang and Ma Long

An Alternative Approach to Solve Convergence Problems in the Backpropagation Algorithm

Alessandro Goedtel, Ivan Nunes da Silva and Paulo Serni

Approximation of Interval Models by Neural Networks

Xifan Yao, Kourosh Danai, Shengda Wang and Shaoqiang Dong

Deterministic Weight Modification Algorithm for Efficient Learning

Sin Chun Ng, Chi Chung Cheung and Shu Hung Leung

Multi-Branch Structure and its Localized Property in Layered Neural Networks

Takashi Yamashita, Kotaro Hirasawa and Jinglu Hu

A Study on the Simple Penalty Term to the Error Function from the Viewpoint of Fault Tolerant Training

Haruhiko Takase, Hidehiko Kita and Terumine Hayashi

Threshold-based Multi-thread EM Algorithm

Tetsuro Kawai and Ryohei Nakano

Incremental Learning from Unbalanced Data

Michael Muhlbaier, Apostolos Topalis and Robi Polikar

Parallel Tangent Methods with Variable Stepsize

Yannis Petalas and Michael Vrahatis

Nonextensive Entropy and Regularization for Adaptive Learning

Aristoklis Anastasiadis and George Magoulas

Reinforcement Learning

Two Stochastic Dynamic Programming Problems by Model-Free Actor-Critic Recurrent Network Learning in Non-Markovian Settings

Eiji Mizutani and Stuart Dreyfus

Reinforcement Learning in Multiresolution Object Recognition (special session Sb)

Khan Iftekharuddin and Taufiq Widjanarko

Model-Free Off-Policy Reinforcement Learning in Continuous Environment

Pawel Wawrzynski and Andrzej Pacut

Asymmetric Multiagent Reinforcement Learning in Pricing Applications

Ville Kononen and Erkki Oja

Forecasting Series-based Stock Price Data using Direct Reinforcement Learning

Hailin Li, Cihan Dagli and David Enke

A Reinforcement Learning Scheme for Acquisition of Via-Point Representation of Human Motion

Yasuhiro Wada and Kei-ichi Sumita

State Space Construction of Reinforcement Learning Agents Based upon Anticipated Sensory Changes

Hisashi Handa

Incremental Policy Learning: An Equilibrium Selection Algorithm for Reinforcement Learning Agents with Common Interests

Nancy Fulda and Dan Ventura

Overcoming Communication Restrictions in Collectives

Kagan Tumer and Adrian Agogino

Response Knowledge Learning of Autonomous Agent

Chi-kin Chow and Hung-Tat Tsui

Ensemble Methods

Online Learning Theory of Ensemble Learning Using Linear Perceptrons

Kazuyuki Hara and Masato Okada

Hyperspectral Image Classification by Ensembles of Multilayer Feedforward Networks

Mercedes Fernandez-Redondo, Carlos Hernandez-Espinosa and Joaquin Torres-Sospedra

Analysis of Ensemble Learning using Simple Perceptrons based on Online Learning Theory

Seiji Miyoshi, Kazuyuki Hara and Masato Okada

Sharing Training Patterns in Neural Network Ensembles

Rozita Dara and Mohamed Kamel

AdaBoost.RT: a Boosting Algorithm for Regression Problems

Dimitri Solomatine and DurgaLal Shrestha

Design of Experiments by Committee of Neural Networks

Nicolas Gilardi and Abdelaziz Faraj

Semi-optimal Hierarchical Regression Models and ANNs

Dimitri Solomatine and Michael Siek

Bioinformatics

Aligning Multiple Protein Sequence by An Improved Genetic Algorithm

Guangzheng Zhang and De-Shuang Huang

Representation of DNA Sequences with Multiple Resolutions and BP Neural Network Based Classification

Xin Huang, De-Shuang Huang, HongQiang Wang and Xing-Ming Zhao

Modelling Gene Expression Time-series with Radial Basis Function Neural Networks

Carla S. Moller-Levet and Hujun Yin

Inductive vs Transductive Inference, Global vs Local Models: SVM, TSVM, and SVMT for Gene Expression Classification Problems

Pang Shaoning and Kasabov Nikola

Computational Neurogenetic Modelling: Gene Networks within Neural Networks

Nikola Kasabov, Lubica Benuskova and Simei Wysosky

On Generalization of Multilayer Neural Network Applied to Predicting Protein Secondary Structure

Kenji Nakayama, Akihiro Hirano and Ken-ichi Fukumura

Inference of Genetic Regulatory Networks from Time Series Gene Expression Data

Rui Xu, Xiao Hu and Donald Wunsch

Comparison of Self-Organizing Map with K-means Hierarchical Clustering for Bioinformatics Applications

Somnath Shahapurkar and Malur Sundareshan

Generic Bi-layered Net of the 'Functional Nodes' in Process Modeling

Bela Csukas and Gyongyi Bankuti

Neural Control

Modeling and Controlling Interstate Conflict

Tshilidzi Marwala and Monica Lagazio

Supervisory Enhanced Genetic Algorithm Control for Indirect Field-Oriented Induction Motor Drive

Rong-Jong Wai Wai, Jeng-Dao Lee and Kuo-Ho Su

Neural Network Control for Leg Rhythmic Movements via Functional Electrical Stimulation

Dingguo Zhang and Kuanyi Zhu

Comparative Analysis of Neural Predictive Controllers and Its Application to a Laboratory Tank

Martin Alayon, Doris Saez and Ricardo Veiga

Observer-Based Adaptive Neural Control for Nonlinear Systems

Shaocheng Tong and Yan Shi

A Direct Adaptive Neural Control for MIMO Nonlinear Systems with Output Delays

Wen-Shyong Yu

Neural-Network-based Approximate Predictive Control

Dionisio Suarez-Cerda

Dynamics of Oscillator Network and Its Application to Offset Control of Traffic Signals

Ikuko Nishikawa

Addressing to Online Adaptive Controller Malfunction in Fault Tolerant Control

Pedro deLima and Gary Yen

Predictive Control of a Fossil Power Plant Based on Locally Linear Model Tree (LOLIMOT)

Mahdi Jalili-Kharaajoo

Stability Analysis of a DC Motor System Using Universal Learning Networks

Ahmed Hussein, Kotaro Hirasawa and Jinglu Hu

Modelling of Gasoline Blending via Discrete-Time Neural Networks

Wen Yu and America Morales

Projection-Based Gradient Descent Training of Radial Basis Function Networks

Mehmet Muezzinoglu and Jacek Zurada

Pattern Recognition I

A Novel Clustering-Neural Tree for Pattern Classification

Zhong-Qiu Zhao, De-Shuang Huang and Lin Guo

Neural Network Based Threat Assessment for Automated Visual Surveillance

Seun Jan

Improvement of the Reliability of Bank Note Classifier Machines

Ali Ahmadi, Sigeru Omatu and Toshihisa Kosaka

Fire Detection Systems by Compact Electronic Nose Systems Using Metal Oxide Gas Sensors

Bancha Charumporn, Sigeru Omatu, Michifumi Yoshioka, Toru Fujinaka and Toshihisa Kosaka

Real-time Intelligent Pattern Recognition, Resource Management and Control under Constrained Resources for Distributed Sensor Networks

Ashit Talukder, Tanwir Sheikh and Lavanya Chandramouli

Feature Weighting Using Neural Networks

Xinchuan Zeng and Tony Martinez

Using Permutations Instead of Student's t Distribution for p-values in Paired-Difference Algorithm Comparisons

Joshua Menke and Tony Martinez

A Feature Extraction Technique for Online Handwriting Recognition

Brijesh Verma, Jenny Lu, Moumita Ghosh and Rana Ghosh

Fast Insect Damage Detection in Wheat Kernels Using Transmittance Images

Zehra Cataltepe, Tom Pearson and Enis Cetin

Self-enhanced Relevant Component Analysis with Side-information and Unlabeled Data

Fei Wu, Yonglei Zhou and Changshui Zhang

Simultaneous Estimation of Odor Classes and Concentrations using an Electronic Nose

Daqi Gao, Qing Miao and Guiping Lie

Datamining

Relevance Feedback Document Retrieval using Support Vector Machines

Takashi Onoda, Hiroshi Murata and Seiji Yamada

Knowledge Acquisition and Revision via Neural Networks

Arnulfo Azcarraga, Ming Hsieh, Shan-Ling Pan and Rudy Setiono

Optimal Brain Surgeon Variants For Feature Selection

Attik Mohammed, Bougrain Laurent and Alexandre Frederic

An Input Variable Importance Definition based on Empirical Data Probability and Its Use in Variable Selection

Vincent Lemaire and Fabrice Clιrot

A Constructive Unsupervised Learning Algorithm for Clustering Binary Patterns

Di Wang, Narendra S. Chaudhari and Chandra Jagdish

MLP Networks for Classification and Prediction with Rule Extraction Mechanism

Paulemir Campos, Eleonora Oliveira, Teresa B. Ludermir and Aluizio Araujo

Prediction of Rainfall Rate Based on Weather Radar Measurements

C.I. Christodoulou, S.C. Michaelides, M. Gabella and C.S. Pattichis

Extracting Characteristic Words of Text Using Neural Networks

Kazumi Saito and Ryohei Nakano

Transferring Domain Rules in a Constructive Network: Introducing RBCC

Jean-Philippe Thivierge, Frederic Dandurand and Thomas R. Shultz

N2Grid: Neural Networks in the Grid

Erich Schikuta and Thomas Weishaeupl

Comparison of Feature Ranking Methods Based on Information Entropy

Wlodzislaw Duch, Tadeusz Wieczorek, Jacek Biesiada and Marcin Blachnik

Energy Generalized LVQ with Relevance Factors

Angel Cataron and Razvan Andonie

A Self-Regulating Clustering Algorithm for Identification of Minimal Cluster Configuration

Jiun-Kai Wang and Jeen-Shing Wang

Design Interpretable Neural Network Trees Through Self-organized Learning of Features

Qinzhen Xu, Qiangfu Zhao, Wenjiang Pei, Luxi Yang and Zhenya He

Pruning the Vocabulary for Better Context Recognition (special session S6)

Rasmus Madsen, Sigurdur Sigurdsson, Lars Hansen and Jan Larsen

An Approach for Generalizing Knowledge Based on Rules with Priority Orders

An Zeng, Qi-Lun Zheng, Dan Pan and Hong Peng

Distributed Mining of the Internet for Novel News: Evolutionary Community of News Foragers

Zsolt Palotai, Sandor Mandusitz and Andras Lorincz

Computational Neuroscie

Thematic Role Assignment through a Biologically Plausible Symbolic-connectionist Hybrid System

Joao Luis Rosa

Self-Organized Function Localization Neural Network

Takafumi Sasakawa, Jinglu Hu and Kotaro Hirasawa

Using Latent Attractors to Discern Temporal Order

Simona Doboli and Ali A. Minai

Information Transformation from a Spatiotemporal Pattern to Synchrony through STDP Network

Ryosuke Hosaka, Hikoichiro Nakamura, Tohru Ikeguchi and Osamu Araki

Desynchronization in Networks of Globaly Coupled Neurons: Effects of Inertia

Milan Majtanik, Kevin Dolan and Peter A. Tass

Electrode-cell Distance Estimation Method, Based on Spatial Potential Patterns of Spiking Cells

Zoltan Somogyvari, Gabor Borbath, Laszlo Zalanyi, Istvan Ulbert and Peter Erdi

Hippocampal and Prefrontal Mechanisms for Goal-directed and Memory Guided Behavior (Special Session S9)

Michael E. Hasselmo, Randal A. Koene and Robert C. Cannon

Spatial Representation versus Navigation through Hippocampal, Prefrontal and Ganglio-basal Loops

Jean-Paul Banquet, Yves Burnod, Philippe Gaussier, Mathias Quoy and Arnaud Revel

Neurodynamics

Stability Analysis of a Self-Organizing Neural Network with Feedforward and Feedback Dynamics

Anke Meyer-Baese, Sergei Pilyugin and Axel Wismueller

Studies on the Conditions of Limit Cycle Oscillations in the KII Models of Neural Populations

Roman Ilin, Robert Kozma and Walter J. Freeman

Applying KIV Dynamic Neural Network Model for Real Time Navigation by Mobile Robot Aibo

Sangeeta Muthu, Robert Kozma and Walter J. Freeman

Neural Communication Systems

Peter Andras

Theta Rhythm Selection of a Dentate Gyrus Network Model

Katsumi Tateno, Takahiro Hashimoto, Satoru Ishizuka, Koushi Nakashima and Hatsuo Hayashi

A New Hybrid Neural Architecture (MLP+RPE) for Hetero Association: Multi Layer Perceptron and coupled Recursive Processing Elements Neural Networks

Emilio Del Moral Hernandez and Leandro Silva

Segregation of Motion Aftereffect Following Adaptation to Transparent Motion

Makoto Hirahara, Naoki Fukushima and Takashi Nagano

Communications and Security

Reinforced Snap-Drift Learning for Proxylet Selection in Active Computer Networks

Dominic Palmer-Brown, Sin Wee Lee and Chris Roadknight

Convolutional Decoders Based on Artificial Neural Network

Stevan Berber and Vojislav Kecman

Neural Network Approach for User Activity Monitoring in Computer Networks

Natalia Kussul and Serhiy Skakun

Feature Selection for Intrusion Detection: An Evolutionary Wrapper Approach

Alexander Hofmann, Timo Horeis and Bernhard Sick

A Neural Network Application for Attack Detection in Computer Networks

Adriana Cristina Santos, Lilia de Sa Silva, Jose Demisio S. Silva and Antonio Montes

Feature Extraction for Neural Network Equalizers Trained with Multi-gradient

Chulhee Lee, Jinwook Go and Byungjoon Baek

Time Series Prediction Competition

Time Series Prediction with Evolvable Block-based Neural Networks (special session Sf)

Seong G. Kong

Time-line Hidden Markov Experts for the Prediction of CATS time series (special session Sf)

Xin Wang

A Hierarchical Bayesian Learning Scheme for Autoregressive Neural Networks: Application to the CATS Benchmark (special session Sf)

Antonio Eleuteri, Fausto Acernese, Fabrizio Barone, Rosario De Rosa and Leopoldo Milano

Batch Learning Competitive Associative Net and Its Application to Time Series Prediction (special session Sf)

Shuichi Kurogi, Takamasa Ueno and Miho Sawa

A Hybrid Predictor for Time Series Prediction (special session Sf)

Chen Yen-Ping, Wu Sheng-Nan and Wang Jeen-Shing

MultiGrid-Based Fuzzy Systems for Time Series Forecasting: CATS Benchmark IJCNN Competition (special session Sf)

Luis Javier Herrera Maldonado, Hector Pomares, Ignacio Rojas, Jesus Gonzalez and Mohammed Awad

BYY Harmony Learning Based Mixture of Experts Model for Non-stationary Time Series Prediction (special session Sf)

Ho-Wai Chan, Wing-Chung Leung, Kai-Chun Chiu and Lei Xu

Time Series Prediction Using Chaotic Neural Networks: Case Study of IJCNN CATS Benchmark Test (special session Sf)

Robert Kozma and Igor Beliaev

Tuesday, 27 July , 16:00 - 19:00          FUZZ-IEEE Poster Sessions & Coffee

Fuzzy Logic

Roughness of Fuzzy Set Based on Two New Operators

Hongli Liang, Huaguang Zhang and Derong Liu

Discrete Fuzzy Control Loops Based on a Motor Neuro-Fuzzy Model. Pushing too Far a Continuous Logic?

Dan Mihai

Identification of Fuzzy Model Using Evolutionary Programming and Least Squares Estimate

Bin Ye, Chuangxin Guo and Yijia Cao

Fuzzy Modelling of Speech Interference in Noisy Environment

Zaheeruddin Zaheeruddin and V. K. Jain

Applications of Fuzzy Decision-Making in Pipeline Leak Localization

Jian Feng, Huaguang Zhang and Derong Liu

Design Optimal Fuzzy Observers based on TS Fuzzy Model

Mohanlal P.P. and Kaimal M.R.

Fuzzy Modeling and Optimal Control of Nonlinear Second Order Systems

Mohanlal P.P. and Kaimal M.R.

Application of Hierarchical Fuzzy Methodology for Smart Structures Vibration Control

Jonqlan Lin

Scale and Move Transformation-Based Fuzzy Interpolative Reasoning: A Revisit

Zhiheng Huang and Qiang Shen

Mamdanian Logic

Yalin Zheng, Changshui Zhang and Xing Yi

A Direct Induction Algorithm of Temporal Fuzzy Models

Juan Moreno-Garcia, Luis Jimenez and Jose Jesus Castro-Schez

Ordinal Sums by Using Genetic Algorithms

Angelo Ciaramella, Witold Pedrycz and Roberto Tagliaferri

A Normal Form which Preserve 1-Tautologies and 0-Contradictions in a Class of Residuum-based Propositional Fuzzy Logics

Benjamin Bedregal

Qualitative Classification and Evaluation in Possibilistic Decision Trees

Nahla Ben Amor, Salem Benferhat and Zied Elouedi

Qualitative Modelling of an Economic System using Rule Based Fuzzy Cognitive Maps

 Joao Paulo Carvalho and Jose Tome

Qualitative Fuzzy Sets: Homotopy and Perception

T. Y. Lin

Fuzzy Ordering of Fuzzy Numbers

Luigi Troiano and Gerardo Canfora

Situation-Dependent Fuzzy Rating Based on Analogical Reasoning

Atsushi Hatashi and Takehisa Onisawa

Comparison of Operations Used for Fuzzy Modeling

Bohdan Butkiewicz

Fuzzy-Neuro-Evolutionary Hybrids

Fuzzy Multiregression Networks

Rong Yang, Zhenyuan Wang, Pheng-Ann Heng and Kwong-Sak Leung

Fuzzy Model of the Football Prediction with Genetic and Neuro Tuning

Alexander Rotshtein, Morton Posner and Hanna Rakytyanska

Evolutionary Search for Optimal Fuzzy C-Means Clustering

Eduardo Hruschka, Ricardo Campello and Leandro de Castro

Hybrid Learning Algorithm for Fuzzy Neuro Systems

Ching-Hung Lee and Yu-Ching Lin

A Self-Organizing Recurrent Fuzzy CMAC Model for Dynamic System Identification

Cheng-Jian Lin, Huei-Jen Chen and Chi-Yung Lee

Towards a Neuro Fuzzy Tennis Coach: Automated Extraction of the Region of Interest (ROI)

Boris Bacic

Adaptive Recurrent Fuzzy Neural Network Control for Linearized Multivariable Systems

Lin Chih-Min, Chen Chiu-Hsiung, Kao Chi-Jui and Chin Wei-Laing

Power System Load Frequency Control By Evolutionary Fuzzy PI Controller

 Chia-Feng Juang and Chun-Feng Lu

Optimal Design of the 2-Layer Fuzzy Controller Using the Schema Co-Evolutionary Algorithm

 Kwang-Sub Byun and Kwee-Bo Sim

Random and Evolution Algorithms of the Tasks Scheduling and of the Production Scheduling

Tadeusz Witkowski, Arkadiusz Antczak and Pawel Antczak

Fuzzy Optimization and Design

A PI type Self-tuning Fuzzy Controller with Receding Horizon Optimization

Xu Min and Li Shao Yuan

Fuzzy Renewal Process, Fuzzy Renewal Reward Process and Their Applications

Ruiqing Zhao, Wanshwng Tang and Huaili Yun

Some Properties of Optimistic and Pessimistic Values of Fuzzy Variables

Jin Peng

Expected Value Model for A Fuzzy Random Warehouse Layout Problem

Lixing Yang

On Crisp Equivalents of Fuzzy Chance-Constrained Multilevel Programming

Jinwu Gao and Baoding Liu

The Parametric Definition of Membership Functions in XFL3

Francisco Jose Moreno-Velo, Iluminada Baturone, Santiago Sanchez-Solano and Angel Barriga

Hierarchical Fuzzy Systems with FITM

Santiago Aja-Fernandez and Carlos Alberola-Lopez

On Fuzzy Shortest Path Problems with Fuzzy Parameters: an Algorithmic Approach

Marcia Takahashi and Akebo Yamakami

A New TSK Fuzzy Modeling Approach

Kyoungjung Kim, Euntai Kim and Mignon Park

Dynamic Decision Making with an Objective Function based on Fuzzy Preferences

Yuji Yoshida, Masami Yasuda, Jun-ichi Nakagami, Masami Kurano and Satoru Kumamoto

L_infinity-gain Fuzzy Control for Nonlinear Dynamic Systems with Persistent Bounded Disturbances Chung-Shi Tseng and Bor-Sen Chen

System Architectures and Hardware

grSOM: A Granular Extension of the Self-Organizing Map for Structure Identification Applications

Vassilis Kaburlasos and Stylianos Papadakis

Temperature Control By Hardware Implemented Recurrent Fuzzy Controller

Chia-Feng Juang and Jung-Shing Chen

Control of a Bioprocess using Orthonormal Basis Function Fuzzy Models

Ricardo Campello, Luiz Meleiro and Wagner Amaral

Real World Applications

Development of Adaptive Fuzzy Control for Electrical Servo Drive Via Total Sliding-Mode Technique Rong-Jong Wai, Shun-Lin Yu and Kuo-Ho Su

Possibilistic Reasoning of user's Intention from Operation

Koichi Yamada, Masahiko Yagi and Villany Kimala

Project Scheduling Problem with Fuzzy Activity Duration Times

 Hua Ke and Baoding Liu

A New Information Fusion Method Based on Interval-Valued Fuzzy Numbers for Handling Multi-Criteria Fuzzy Decision-Making Problems

Shi-Jay Chen and Shyi-Ming Chen

A New Approach to Construct Membership Functions and Generate Fuzzy Rules from Training Instances

Shyi-Ming Chen and Fu-Ming Tsai

A Neuro-Fuzzy Classification Approach to the Assesment of Student Performance

Arif Alhammadi and Robert Milne

Weighted Fuzzy Ontology for Chinese e-News Summarization

Chang-Shing Lee, Shu-Mei Guo and Zhi-Wei Jiang

Parameter Estimation of Non-Linear Systems With Hammerstein Models Using Neuro-Fuzzy and Polynomial Approximation Approaches

Jose Vieira and Alexandre Mota

Assisting Negotiations and Supporting Decisions in Small E-bussines

Jose Jesus Castro-Schez, Juan Moreno-Garcia, Ramon Manjavacas and Carlos Gonzalez

Virtual Screening using Local Neuro-Fuzzy Rules

Juergen Paetz and Gisbert Schneider

Evaluation of Biochemical Sources Pertinence in Classification of Cell's Physiological States by Evidence Theory

Sebastien Regis, Jacky Desachy and Andrei Doncescu

Approximate Analysis of Fuzzy Node Fuzzy Graph and its Application

Hiroaki Uesu, Hajime Yamashita and Kimiaki Shinkai

Fuzzy Decision Model for Recruitment and Selection Process in Human Resource Management

Kumar Ujjwal and Rajendra Sahu

A Fuzzy Logic Based Expert System as a Network Forensics

Kim JungSun, Kim DongGuen and Noh BongNam

An Active Fuzzy Object-Oriented Database Approach

Burcin Bostan-Korpeoglu and Adnan Yazici

A Fuzzy Method for Power System Model Reduction

Shu-Chen Wang and Pei-Hwa Huang

A Study of Group Size and Communication in an Evolving Fuzzy-Controlled Population

Sam McKennoch, Sean Hoyt and Linda Bushnell

A Hybrid Model for Performability Analysis

Mariana Dumitrescu, Toader Munteanu and Dan Floricau

A MIMO Fuzzy-Control System for High-Speed Machining Processes. Results of a Case of Study

Jose Emilio Jimenez, Rodolfo Haber and Jose Ramon Alique

Perception-based Expert System with Application to Clinical Decision Makin

Adam Gaweda, Alfred Jacobs, Michael Brier and George Aronoff

Tuesday, 27 July,  16:30 –17:30      FUZZ-IEEE Panel Session PAN1

 16:30

Soft Computing as a Tool

Chair: Ebrahim H. Mamdani

Tuesday, 27 July , 16:30 - 17:30

Retina Prosthesis Symposium part 3

16:30

Panel Discussion

Tuesday, 27 July, 20:00 - 22:20        IJCNN Special Session

Time Series Prediction Competition

 20:00

Time Series Prediction Competition: The CATS Benchmark 

Amaury Lendasse, Erkki Oja, Olli Simula and Michel Verleysen

20:20

Multi-resolution Time-Series Prediction Using Fuzzy Inductive Reasoning

Francois E, Cellier and Angela Nebot

 20:40

Time Series Prediction with Ensemble Models

Joerg Wichard and Maciej Ogorzalek

21:00

Prediction of the CATS benchmark exploiting time-reversal symmetry

Pablo F. Verdes, Pablo M. Granitto, Maria Ines Szeliga, Alejandro Rebola and H. Alejandro Ceccatto

 21:20

Double Quantization Forecasting Method for Filling Missing Data in the CATS Time Series

Geoffroy Simon, John A. Lee, Michel Verleysen and Marie Cottrell

21:40

IJCNN 2004 Challenge Problem: Time Series Prediction with a Weighted Bidirectional Multi-stream Extended Kalman Filter

Xiao Hu and Donald Wunsch

 22:00

Time Series Prediction with Recurrent Neural Networks Using a Hybrid PSO-EA Algorithm

Xindi Cai, Nian Zhang, Ganesh K. Venayagamoorthy and Donald Wunsch

22:20

Time Series Prediction by Kalman Smoother with Cross Validated Noise Density

Simo Sarkka, Aki Vehtari and Jouko Lampinen

to top


WEDNESDAY, 28 JULY 

 

Wednesday, 28 July ,  08:30-09:50   IJCNN Plenary talks

08:30

Implantable Biomimetic Microelectronics for the Replacement of Hippocampal Memory Function Lost Due to Damage or Disease 

Theodore Berger

09:10

Reinforcement Learning in the Real World

Andrew Barto

Wednesday, 28 July,  09:00-09:50   FUZZ-IEEE Plenary talk

 

Progressive Sampling Schemes for Approximate Clustering in very Large Data sets

Jim Bezdek

 

 

09:50 –10:10      Coffee break

Wednesday, 28 July, 10:10-12:10    IJCNN Parallel Sessions

Invited Session

10:10

A Comparison of CNN and LEGION Networks

DeLiang Wang

10:40

A CNN Model of Multi-dimensional Stimulus Selectivity in Primary Visual Cortex

Bertram Shi

11:10

Implantable Probe Systems for Cortical Neuroprostheses

Deryl Kipke

11:40

Vertically-Integrated Photonic Multichip Module Architecture 

A.R. Tanguay, B.K. Jenkins, C. von der Malsburg, B. Mel, J. O'Brien and I. Biederman

Reinforcement Learning & Approximate Dynamic Progr

10:10

Theory of Functional Systems, Adaptive Critics and Neural Networks

Vladimir Red'ko, Danil Prokhorov and Mikhail Burtsev

10:30

Hybrid Model for Multiagent Reinforcement Learning            

Ville Kononen

10:50

A Hybrid Dynamical System with Robust Switching Control by Action Dependent Heuristic Dynamic Programming

Thomas Hanselmann, Anthony Zaknich, Noakes Lyle and Savkin Andrey

11:10

Learning With Binary-Valued Utility Using Derivative Adaptive Critic Methods

Shari Matzner, Thaddeus Shannon and George Lendaris

11:30

A Reinforcement Learning Algorithm to Improve Scheduling Search Heuristics with the SVM

Kai Gersmann and Barbara Hammer

11:50

A Solving Method for MDPs by Minimizing Variational Free Energy

Junichiro Yoshimoto and Shin Ishii

Signal and Image processing for intelligent vehicles

10:10

Biologically Inspired Enhanced Vision System (EVS) for Aircraft Landing Guidance

Chiu Hung Luk, Changjian Gao, Dan Hammerstrom, Misha Pavel and Dick Kerr

10:30

A Collision Avoidance Model Based on the Lobula Giant Modevemt Detector Neuron of the Locust

Sergi Bermudez i Badia and Paul F.M.J. Verschure

10:50

Topographic and Non-topographic Neural Network Based Computational Platform for UAV Applications

Csaba Rekeczky, Gergely Timar, David Balya, Istvan Szatmari and Akos Zarandy

11:10

Robust Control System Design by Use of Neural Networks and Its Application to UAV Flight Control

Hiroaki Nakanishi and Koichi Inoue

11:30

Context-based Tracking of Object Features

Jigang Wang, Predrag Neskovic and Leon Cooper

11:50

Intelligent Landing Control Based on Neural-Fuzzy-GA Hybrid System

Jih-Gau Juang, Kuo-Chih Chin and Jern-Zuin Chio

Neuromorphic Chips and Hardware

10:10

Recurrently Connected Silicon Neurons with Active Dendrites for One-Shot Learning

John V. Arthur and Kwabena Boahen

10:30

Analog Auditory Perception Model for Robust Speech Recognition

Yunbin Deng, Shantanu Chakrabartty and Gert Cauwenberghs

10:50

A New VLSI Model of Neural Microcircuits Including Spike Time Dependent Plasticity

Johannes Schemmel, Karlheinz Meier and Eilif Mueller

11:10

Mixed Analog/Digital Chaotic Neuro-Computer Prototype:400-Neuron Dynamical Associative Memory

Okuno Takahide, Mori Koji and Horio Yoshihiko

11:30

On-Chip Contrastive Divergence Learning in analogue VLSI

Patrice Fleury, Hsin Chen and Alan Murray

11:50

A New Mixed-Signal Feed-Forward Neural Network with On-Chip Training

Mitra Mirhassani, Majid Ahmadi and William C. Miller

Bioinformatics

10:10

Localized Neural Network Based Distributional Learning for Knowledge Discovery in Protein Databases

Dragoljub Pokrajac, Aleksandar Lazarevic, Teresa Singleton and Zoran Obradovic

10:30 

Gene Trajectory Clustering with a Hybrid Genetic Algorithm and Expectation Maximization Method

Zeke S. H. Chan and Nikola Kasabov

10:50

A Feature_Core and SVM-based Algorithm for Identification of Bioprocess-specific Genome Features

HongQiang Wang, De-Shuang Huang, Guangzheng Zhang and Xing-Ming Zhao

11:10

Unsupervised Gene Selection via Spectral Biclustering

Bing Liu, Chunru Wan and Lipo Wang

11:30

Residue Spatial Distance Prediction of Soybean Protein Sequences by Genetic Algorithm Optimized Radial Basis Function Neural Networks

Guangzheng Zhang and De-Shuang Huang

11:50

Protein Fold Class Prediction using Neural Networks with Tailored Early-Stopping

Thomas Wiebringhaus, Christian Igel and Jutta Gebert

Wednesday, 28 July, 10:10-12:10    FUZZ-IEEE Parallel Sessions

System Architectures and Hardware

10:10

On the use of Fourier methods in URC fuzzy system design

Jeffrey Weinschenk, Robert Marks and William Combs

10:30 

Robust Neuro-fuzzy Controller Design via Sliding-mode Approach [#1152] Hsu Chun-Fei, Lee Tsu-Tian, Lin Chih-Min and Chen Li-Yang

10:50

Learning Complex Combinations of Operations

L. Andrew Coward, Tamas D. Gedeon and Uditha Ratnayake

11:10

Algorithms of Multilevel Synthesis of Fuzzy Functions

Andrzej Wielgus

11:30

A High Performance IDS Processing Unit for a New Fuzzy-based Modeling

Masayuki Murakami, Nakaji Honda and Junji Nishino

11:50

A CMOS Implementation of Current-Mode Min-Max Circuits and A Sample Fuzzy Application

Behzad Mesgarzadeh

Applications of Type 2 Fuzzy Logic 1. (Invited)

10:10

Centroid Uncertainty Bounds for Interval Type-2 Fuzzy Sets: Forward and Inverse Problems

Jerry Mendel and Hongwei Wu

10:30

A Type-2 Fuzzy Logic Controller for the Liquid-level Process

Dongrui Wu and Woei Wan Tan

10:50

A New and Efficient Method for the Type-2 Meet Operation

Simon Coupland and Robert John

11:10

A Type-2 Fuzzy Logic Controller For Autonmous Mobile Robots

Hani Hagras

11:30

Effect of Type-2 Fuzzy Membership Function Shape on Modelling Variation in Human Decision Making

Turhan Ozen and Jonathan Garibaldi

11:50

Pro-Two: a hardware based platform for real time Type-2 Fuzzy Inference

Miguel Melgarejo, Antonio Garcia and Carlos Pena-Reyes

Fuzzy Optimization and Design

10:10

Chance-Constrained Programming for Quadratic Minimum Spanning Tree Problem with Fuzzy Costs

Jinwu Gao and Mei Lu

10:27

KBCT: A knowledge Extraction and Representation Tool for Fuzzy Logic Based Systems

Jose M. Alonso, Luis Magdalena and Serge Guillaume

10:44

Optimizing Sampling Time in Single Photon Counting Experiments

Laszlo Nadai, Laszlo T. Koczy and Peter Varlaki

11:01

Using Fuzzy Distance to Evaluate the Consensus of Group Decision-Making - An Entropy-based Approach

Chi-Chun Lo and Ping Wang

11:18

Evaluation Function Guided Search for Fuzzy Set Covering

Ian Cloete and Jacobus van Zyl

11:35

A Proposal of Visualization Method for Obtaining Interpretable Fuzzy Rules

Kosuke Yamamoto, Takeshi Furuhashi and Tomohiro Yoshikawa

11:52

Identification of Fuzzy T-S ARMAX Models

Bore-Kuen Lee and Bor-Sen Chen

Fuzzy-Neuro-Evolutionary Hybrids

10:10

Image Attachement using Fuzzy-genetic Algorithms

Barna Resko, Jean-Francois Bourges, Peter Korondi, Hideki Hashimoto and Zoltan Petres

10:30

Neuro-Fuzzy Systems Derived From Quasi-triangular Norms

Leszek Rutkowski and Krzysztof Cpalka

10:50

Learning and Optimization of Fuzzy Rule Base by Means of Self-Adaptive Genetic Algorithm

Pablo Castro, Matheus Pires and Heloisa Camargo

11:10

Reduction of Fuzzy Systems Through Open Product Analysis of Genetic Algorithm-Generated Fuzzy Rule Sets

Sanza Kazadi, Taehoon Shin, Diana Jue, Dharshan Chandramohan and David Choi

11:30

Design of a Hybrid Neuro-Fuzzy Decision-Support System with a Heterogeneous Structure

Michael Negnevitsky

11:50

Motivational Processes and Fuzzy Logic of the Brain. Part 1: Experiment. (The ability to feel rests on the fact of mortality)

Lev Tsitolovsky and Uziel Sandler

 

 

12:10 –14:00      Lunch break

Wednesday, 28 July, 14:00-16:00    IJCNN Parallel Sessions

N N & Kernel Methods for Structured Domains (ENNS Special Session)

14:00

Recursive PCA and the Structure of Time Series

Thomas Voegtlin

14:20

On the Role of Long-Range Dependencies in Learning Protein Secondary Structure

Alessio Ceroni and Paolo Frasconi

14:40

A Mutual Information Kernel for Sequences

Marco Cuturi and Jean-Philippe Vert

15:00

Recursive Neural Networks for Object Detection

Monica Bianchini, Marco Maggini, Lorenzo Sarti and Franco Scarselli

15:20

Fisher Kernel for Tree Structured Data

Luca Nicotra, Alessio Micheli and Antonina Starita

15:40

A Supervised Self-Organizing Map for Structures

Markus Hagenbuchner and Ah Chung Tsoi

Neural Network Control

14:00

Neural Network Stabilizing Control of Single Machine Power System with Control Limits

Wenxin Liu, Sarangapani Jagannathan, Ganesh K. Venayagamoorthy, Donald Wunsch and Mariesa Crow

14:20

Adaptive Critic Network for Prey-Predator Systems

Angelica Calu and Claudia-Lidia Badea-Simionescu

14:40

Robust Feedback Error Learning Method for Controller Design of Nonlinear Systems

Hongping Chen, Kotaro Hirasawa and Jinglu Hu

15:00

Recurrent Neural Control for Rollover Prevention on Heavy Vehicles

Edgar Sanchez, Luis Ricalde, Reza Langari and Danial Shahmirzadi

15:20

Real-time Control of Variable Air Volume System Based on a Robust Neural Network Assisted PI controller

Chengyi Guo, Qing Song and Wenjian Cai

15:40

An Adaptive Learning Control Approach Based on Constructive Function Approximation

Jian-Xin Xu and Rui Yan

Applications in Diagnostics and Quality Control

14:00

Tool Wear Monitoring Using Radial Basis Function Neural Network

Danko Brezak, Toma Udiljak, Kristijan Mihoci, Dubravko Majetic, Branko Novakovic and Josip Kasac

14:20

Content-Based Image Retrieval of Web Surface Defects with PicSOM

Rami Rautkorpi and Jukka Iivarinen

14:40

Fault Detection and Isolation Based on Hybrid Modelling in an AC Motor

Maria J. Fuente, Eduardo Moya, Carlos Alvarez and Gregorio Sainz

15:00

On the Approach to Synthesis of Forecasting Markov Networks

Sergey Baranov

15:20

Constructing a Neural System for Surface Inspection

Calle Grunditz, Martin Walder and Lambert Spaanenburg

15:40

Fault Diagnosis of Pneumatic Actuator Using Adaptive Network-Based Fuzzy Inference System Models and a Learning Vector Quantization Neural Network

Shi Li and Nariman Sepehri

Brain Inspired Emerging Nanoarchitectural Design and Techn. Challenges

14:00

Fault-Tolerant PLA-styleCircuit Design for Failure-Prone Nanometer CMOS and Quantum Devices Technologies

Alexandre Schmid and Yusuf Leblebici

14:20

Emergence of Computational Chaos in Asynchronous Neurocomputing

Jacob Barhen, Vladimir Protopopescu, Sarit Barhen and Neena Imam

14:40

Architectural Requirements for Threshold Logic Gates based on Resonant Tunneling Devices

Peter Kelly, Martin Mcginnity and Liam Maguire

15:00

Reconfigurable Subthreshold CMOS Perceptron

Snorre Aunet, Bengt Oelmann, Suliman Abdalla and Yngvar Berg

15:20

CHIMERA: Creating a New Generation Chip by Brain Guidance

John Taylor

15:40

A Charge Recycling Differential Noise Imune Perceptron

Jabulani Nyathi, Valeriu Beiu, Suryanarayana Tatapudi and David J. Betowski

Biomedical Applications

14:00

Computer Aided Diagnosis of CT Focal Liver Lesions by an Ensemble of Neural Network and Statistical Classifiers

Ioannis Valavanis, Stavroula Mougiakakou, Konstantina Nikita and Alexandra Nikita

14:20

Prediction of EMG Signals of Trunk Muscles in Manual Lifting Using a Neural Network Model

Yanfeng Hou, Jacek Zurada and Waldemar Karwowski

14:40

Optimized Classification of Multiclass Problems Applied for EMG-Control of Hand Prostheses

Markus Reischl, Lutz Groell and Ralf Mikut

15:00

Clustering of Dependent Components: A New Paradigm for fMRI Signal Detection

Anke Meyer-Baese, Oliver Lange, Axel Wismueller and Dorothee Auer

15:20

Mammographic Mass Detection by Vicinal Support Vector Machine

Aize Cao, Qing Song, Xulei Yang, Sheng Liu and Chengyi Guo

15:40

Kernel-PCA Denoising of Artifact-free Protein NMR Spectra

Kurt Stadlthanner, Elmar W. Lang, Ana Maria Tome, Ana Rita Teixeira and Carlos G. Puntonet

Wednesday, 28 July, 14:00-16:00    FUZZ-IEEE Parallel Sessions

TP Model Transformation in Non-Linear Control (Invited)

14:00

On Application of Grid Point Sampling and SVD Consolidation Approach (For invited session: TP Transformation in Nonlinear Control)

Yeung Yam, Lee Wai Man and Peter Baranyi

14:20

Global Asymptotic Stabilization of the Aeroelastic Wing Section: a TP Model Transformation Based Approach

Peter Baranyi and Pal Michelberger

14:40

On the Approximation Properties of TP Model Forms

Domonkos Tikk, Peter Baranyi and Ron Patton

15:00

Reduction of the Dynamic State-space in Fuzzy Q-learning

Szilveszter Kovacs and Peter Baranyi

15:20

Reference Signal Control Design of the TORA System: a TP Model Transformation Approach

Zoltan Petres. Barna Resko, Peter Baranyi

15:40

Takagi-Sugeno Fuzzy Gain scheduling with Sampling-Time Uncertainties

Bourhane Kadmiry and Dimiter Driankov

Applications of Type 2 Fuzzy Logic 2 (Invited)

14:00

Adaptive Noise Cancellation Using Type-2 Fuzzy Logic and Neural Networks

Oscar Castillo and Patricia Melin

14:20

Antecedent Connector Word Models for Interval Type-2 Fuzzy Logic Systems

Hongwei Wu and Jerry Mendel

14:40

A Type-2 Fuzzy Embedded Agent For Ubiquitious Computing Enviornments

Faiyaz Doctor, Hani Hagras and Victor Callaghan

15:00

Entropy Assessment For Type-2 Fuzziness

Ibrahim Ozkan and I. Burhan Turksen

15:20

An Interval Type-2 Fuzzy Spherical Shells Algorithm

Cheul Hwang and Frank Chung-Hoon Rhee

15:40

Interval Type-2 Fuzzy Hidden Markov Models

Jia Zeng and Zhi-Qiang Liu

Computing with Words

14:00

A Concept of Similarity for Intuitionistic Fuzzy Sets and its use in Group Decision Making

Eulalia Szmidt and Janusz Kacprzyk

14:20

Linguistically Quantified Propositions for Consensus Reaching Support

Janusz Kacprzyk and Slawomir Zadrozny

14:40

Granular Data Model: Data Mining and Computing with Words

T. Y. Lin

15:00

MembershipMap: A Data Transformation Approach for Knowledge Discovery in Databases

Hichem Frigui

15:20

Fuzzy Translation Tools for Linguistic Terms

Andy Verkeyn and Dick Botteldooren

15:40

The Rapid Elicitation of Knowledge About Images Using Fuzzy Information Granules

Jonathan Rossiter

Real World Applications

14:00

Image Analysis via Fuzzy-Reasoning Approach: Prototype Applications at Nasa

Jesus Dominguez and Steve Klinko

14:20

A Software for Electric-Power Fuzzy Critical Analysis

Mariana Dumitrescu, Toader Munteanu and Dan Floricau

14:40

Kernel Estimators for Analysis of Systems with Fuzzy Uncertainty

Piotr Kulczycki

15:00

Improving Visual Servoing Using Fuzzy Filters

Paulo Sequeira Goncalves, Luis Mendonca, Joao Sousa and Joao Caldas Pinto

15:20

Experiments with a Hierarchical Text Categorizer

Domonkos Tikk, Gyorgy Biro and Jae Dong Yang

15:40

Fuzzy Linear Assignment Problem: An Approach to Vehicle Fleet Deployment

Minh Ngoc Ngo, Kiam Tian Seow and Kok Wai Wong

Wednesday, 28 July, 16:00-19:00    IJCNN Poster Sesssions & Coffee

Support Vector Machines and Kernel Methods

A New Momentum Minimization Method for Support Vector Machines

Daniel Lai, Palaniswami Marimuthu and Mani Nallasamy

Learning Probabilistic Kernel Feature Subspace with Side-information for Classification

Jianguo Lee, Changshui Zhang and Zhaoqi Bian

Least Squares Support Vector Machine Ensemble

Bing-Yu Sun and De-Shuang Huang

Robust Outlier Detection using SVM for Regression

Elsa Jordaan and Guido Smits

Unsupervised Clustering and the Capacity of Support Vector Machines

Davide Anguita, Sandro Ridella, Fabio Rivieccio and Rodolfo Zunino

SVM-Based Blind Beamforming of Constant Modulus Signals

Ignacio Santamaria, Javier Via and Javier Merino

Model Selection of SVMs Using GA Approach

Peng-Wei Chen, Jung-Ying Wang and Hahn-Ming Lee

Feature Subset Selection for Support Vector Machines by Incremental Regularized Risk Minimization

Holger Froehlich and Andreas Zell

Multi-class SVM with Negative Data Selection for Web Page Classification

Chen Chih-Ming, Lee Hahn-Ming and Kao Ming-Tyan

Kernel Principal Component Analysis and Support Vector Machines for Stock Price Prediction

Huseyin Ince and Theodre B. Trafalis

Model Selection in Top Quark Tagging with a Support Vector Classifier

Davide Anguita, Sandro Ridella, Fabio Rivieccio, Rodolfo Zunino, Silvia Amerio and Ignazio Lazzizzera

MaxMinOver: an Incremental Learning Procedure for Support Vector Classification

Thomas Martinetz

Denoising using local ICA and Kernel-PCA

Peter Gruber, Fabian J. Theis, Kurt Stadlthanner, Elmar W. Lang and Ana Maria Tome

RBF and Wavelet Networks

Intelligent Machine Fault Detection Using SOM Based RBF Neural Networks

Sitao Wu and Tommy W.S. Chow

An Evolutionary Clustering Technique with Local Search to Design RBF Neural Network Classifiers

Leandro de Castro, Eduardo Hruschka and Ricardo Campello

A Nonlinear Time-Varying Channel Equalizer Using Self-Organizing Wavelet Neural Networks

Cheng-Jian Lin, Chuan-Chan Shih and Po-Yueh Chen

WDN-RBF: Weighted Data Normalization for Radial Basic Function Type Neural Networks

Qun Song and Nikola Kasabov

An Approach Employing Signal Sparse Representation in Wavelet Domain for Underdetermined Blind Source Separation

Eraldo Pomponi, Stefano Squartini and Francesco Piazza

Peak Stick RBF Network for Online System Identification

Hossein Mobahi and Farrokh Janabi-Sharifi

Frequency Domain Analysis Based RBF Neural Networks and their Applications to Function Approximations

Daqi Gao, Yan Ji and Changwu Li

Training Multilayer Perceptron and Radial basis Function Networks for Wavefront Sensing and Restoration of Turbulence-Degraded Imagery

Gautham Chundi, Michael Lloyd-Hart and Malur Sundareshan

Improving Novelty Detection in Short Time Series through RBF-DDA Parameter Adjustment

Adriano Oliveira, Fernando Neto and Silvio Meira

Principal Component and Independent Component Analysis

ICA Photographic Encoding Gear: Image Bases Towards IPEG (Special Session S8)

Yasuo Matsuyama, Hiroaki Kataoka, Naoto Katsumata and Keita Shimoda

An ICA Design of Intraday Stock Prediction Models With Automatic Variable Selection

P.Y. Mok, K. P. Lam and H. S. Ng

An On-line ICA-Mixture-Model-based Fuzzy Neural Network

Chin Teng Lin and Wen-Chang Cheng

Semi-Invariant Function of Jacobi Algorithm in Independent Component Analysis

Yoshitatsu Matsuda and Kazunori Yamaguchi

Nonlinear Principal Components: Projection and Reconstruction

Donald MacDonald and Colin Fyfe

Real-Time PCA(Principal Component Analysis) Implementation on DSP

Dongho Han, Yadunandana Rao, Jose Principe and Karl Gugel

Practical Method for Blind Inversion of Wiener Systems

Zhang Kun and Chan Lai-Wan

Approximating Nonlinear Transformations of Probability Distributions for Nonlinear Independent Component Analysis

Antti Honkela

Estimation of Propagation Delays using Orientation Histograms for Anechoic Blind Source Separation

Junji Yamashita, Shigeki Tatsuta and Yuzo Hirai

Bayesian versus Constrained Structure Approaches for Source Separation in Post-Nonlinear Mixtures

Alexander Ilin, Sophie Achard and Christian Jutten

Blind Source Separation Using Time-delayed Signlas

Ana Maria Tome, Ana Rita Teixeira, Elmar W. Lang, Kurt Stadlthanner and A.P. Rocha

Committee of Spherical Probabilistic Principal Surfaces

Antonino Staiano, Roberto Tagliaferri and Giuseppe Longo

Postnonlinear Bind Source Separation via Linearization Identification

Fabian J. Theis and Elmar W. Lang

Initialization of Directions in Projection Pursuit Learning

Gabor Faddi, Andras Kocsor and Laszlo Toth

Sparse Representation from a Winner-take-all Neural Network

Nan Zhang and Juyang Weng

Information Criteria for Reduced Rank Canonical Correlation Analysis

Mohammed Hasan

Optimization

Exponential Chaotic Tabu Search Hardware for Quadratic Assignment Problems Using Switched-Current Chaotic Neuron IC

Satoshi Matsui, Yukihiro Kobayashi, Watanabe Kentaro and Horio Yoshihiko

Chaotic Neuro-Computer Prototype for Quadratic Assignment Problems

Koji Mori, Takahide Okuno and Horio Yoshihiko

The Implementation of Neural Networks for The Optimalisation of The Production Scheduling

Tadeusz Witkowski, Pawel Antczak and Grzegorz Strojny

Computational Promise of Enhancing Simultaneous Recurrent Neural Network with A Stochastic Search Mechanism

Jeffrey Geib and Gursel Serpen

An Optimization Neural Network Model with Lossy

Jozsef Biro and Zalan Heszberger

Non-feasible Gradient Projection Reccurent Neural Networks for Equality Constrained Optimization

Maria Barbarosou and Nicholas Maratos

An Algorithm for Finding Reliably Schedulable Plans

Balint Takacs, Istvan Szita and Andras Lorincz

Global Optimisation Methods for Choosing the Connectivity Pattern of N-tuple Classifiers

Luiz C. Garcia and Marcilio C. P. de Souto

Analog Neural Networks as Asymptotically Exact Dynamic Solvers

Jozsef Biro and Zalan Heszberger

Evolutionary Computation

An Effective Approach to Nonlinear Hammerstein Model Identification Using Evolutionary Neural Networks

Ali Akramizadeh, Mojtaba Hakimi-M and Hamid Khaloozadeh

Application of Fuzzy Classification by Evolutionary Neural Network in Incipient Fault Detection of Power Transformer

Jingen Wang, Lin Shang, Shifu Chen and Yanfei Wang

On the Hybrid of Genetic Algorithm and Particle Swarm Optimization For Evolving Recurrent Neural Network

Chia-Feng Juang

Instinct-Based PSO with Local Search Applied to Satisfiability

Ashraf Abdelbar and Suzan Abdelshahid

Generational versus Steady-State Evolution for Optimizing Neural Network Learning

John A. Bullinaria

A Neural-genetic Algorithm for Feature Selection and Breast Abnormality Classification in Digital Mammography

Ping Zhang, Brijesh Verma and Kuldeep Kumar

Choosing a Starting Configuration for Particle Swarm Optimization

Mark Richards and Dan Ventura

Design of B-spline Neural Networks using a Bacterial Programming Approach

Cristiano Cabrita, Janos Botzheim, Antonio Ruano and Laszlo Koczy

A Combined Genetic optimization and Multilayer Perceptron Methodology for Efficient Digital fingerprint Modeling and Evaluation in Secure Communications

Dimitrios Karras

Traffic Engineering in Multi-service Networks comparing Genetic and Simulated Annealing Optimization Techniques

Dimitrios Karras

Neural Networks with Branch Gates             

Kenichi Goto, Kotaro Hirasawa and Jinglu Hu

Hierarchical Hopfield Neural Network in Solving the Puzzle Problem

Javid Taheri

Hybrid Inductive Models: Deterministic Crowding Employed

Pavel Kordik, Miroslav Snorek and Marko Genyk-Berezovskyj

Adaptive Resonance Theory

Integrating Phrases to enhance HSOMART-based Document Clustering

Mahmoud Hussin and Mohamed Kamel

Mahalanobis Distance-Based ARTMAP Network

Hongyu Xu and Marko Vuskovic

MS-TSKfnn: Novel Takagi-Sugeno-Kang Fuzzy Neural Network Using ART Like Clustering

Di Wang, Chai Quek and Geok-See Ng

A Data Partitioning Approach to speed up the Fuzzy ARTMAP algorithm using the Hilbert space-filling Curve

Jose Castro, Michael Georgiopoulos, Ronald DeMara and Avelino Gonzalez

Comparative Investigation of the RePART Neural Network in Pattern Recognition Tasks

Anne Canuto and Araken Medeiros

Neuro-fuzzy Systems

An On-line Learning Neuro-Fuzzy System based on Artificial Immune Systems

Mu-Chun Su, Yuan-Shao Yang, Chien-Hsing Chou, Eugene Lai and Min-Nan Hsiao

A Hybrid n-tuple Neuro-Fuzzy Classifier for handwritten Numerals Recognition

Raida Al-Alawi

Improving the Interpretability of Takagi-Sugeno Fuzzy Model by Using Linguistic Modifiers and a Multiple Objective Learning Scheme

Shang-Ming Zhou and John Q. Gan

Fourier Fuzzy Neural Network for Clustering of Visual Objects Based on their Gross Shape and its Appliation to Handwritten Character Recognition

Pradeep Patil, Manish Deshmukh, P.v Bonde, Priyadarshan Dhabe and Trimbak Sontakke

The Dynamic Fuzzy Method to Tune the Weight Factors of Neural Fuzzy PID Controller

Yongquan Yu, Ying Huang and Bi Zeng

A Fuzzy Inference Neural Network Based Method for Short-term Load Forecasting

Hiroyuki Mori and Tadahiro Itagaki

Dynamic Bandwidth Allocation Using A Two-Stage Fuzzy Neural Network Based Traffic Predictor

Nayera Sadek and Alireza Khotanzad

Prior Knowledge for Fuzzy Knowledge-Based Artificial Neural Networks from Fuzzy Set Covering

Jacobus van Zyl and Ian Cloete

Map Building and Localization on Autonomous Mobile Robot Using Graph and Fuzzy Inference System

Gyu-Jong Choi and Doo-Sung Ahn

The Challenge of using Unsupervised Learning Algorithms for Fuzzy Cognitive Maps

Elpiniki Papageorgiou, Chrysostomos Stylios and Peter Groumpos

Determining In-Situ Stress Profiles of Hydrocarbon Reservoirs from Geophysical Well Logs Using Intelligent Systems

Shahab Mohaghegh, Andrei Popa, Razi Gaskari, Steve Wolhart, Robert Siegfried and Sam Ameri

Biomedical Applications

Neural Network Fusion Strategies for Identifying Breast Masses

Yunfeng Wu, Jingjing He, Yi Man and Juan Ignacio Arribas

Analysis of Features for Efficient ECG Signal Classification using Neuro-fuzzy Network

Stanislaw Osowski and Linh Tran Hoai

Breast MRI data analysis by LLE

Claudio Varini, Tim Nattkemper, Andreas Degenhard and Axel Wismueller

Classification of Magnetic Resonance Spectra using Parallel Randomized Feature Selection

Nicolino Pizzi and Witold Pedrycz

Nonlinear Analysis and Selection of Relevant Parameters in Assesing the Treatment Results of Reducing Tremor, using DBS Procedure

Oana Voroneanu, Teodorescu   Horia-Nicolai   and Ciprian Zamfir

Content-based Medical Image Retrieval (CBMIR) using Neural Networks and Multicriteria Optimization

Paul Miki Willy and Karl-Heinz Kuefer

Characterization of the Temporal Pattern of Cerebral Blood Flow Oscillations

Balazs Benyo, Lenzser Gabor and Palancz Bela

Classification of Fetal Heart Rate during labour using Hidden Markov Models

George Georgoulas, George Nokas, Chrysostomos Stylios and Peter Groumpos

An Efficient Sequential RBF Network for Bio-Medical Classification Problems

Runxuan Zhang, Narasimhan Sundararajan, Guang-Bin Huang and Paramasivan Saratchandran

Classification of Medical Data with a Robust Multi-Level Combination Scheme

Georgios Tsirogiannis, Dimitris Frossyniotis, Ioannis Stoitsis, Spyretta Golemati and Andreas Stafylopatis

Neural Network Based Light Attenuation Model for Monitoring Seagrass Health

Habtom Ressom, Padma Natarajan, Siva Srirangam, Mohamad Musavi, Robert Virnstein, Lori Morris and Wendy Tweedale

3D Spatial Analysis of fMRI Data - A Comparison of ICA and GLM Analysis on a Word Perception Task

Ingo R. Keck, Fabian J. Theis, Peter Gruber, Elmar W. Lang and Karsten Specht

Vision and Image Processing

Self Organising Neural Place Codes for Vision Based Robot Navigation

Kaustubh Chokshi, Stefan Wermter, Christo Panchev and Kevin Burn

Homomorphic Processing System And Ratio Rule For Color Image Enhancement

Vijayan Asari and Ming-Jung Seow

A New Accelerated EM Based Learning of the Image Parameters and Restoration

Faruk Sari and Mehmet Celebi

Feature Extraction and Coding-Reconstruction of the Images Using Neuron-Like Algorithms

Vladimir G. Yakhno and Irina Nuidel

Design and Optimization of Amari Neural Fields for Early Auditory-Visual Integration

Carsten Schauer and Horst-Michael Gross

Sparse Coding and NMF

Julian Eggert and Edgar Koerner

Transformation-invariant Representation and NMF

Julian Eggert, Heiko Wersing and Edgar Koerner

A Novel Mixed Pixels Unmixing Method for Multispectral Images

Jun-Hua Han, De-Shuang Huang, Zhan-Li Sun and Yiu-ming Cheung

Multiple Regression Estimation for Motion Analysis and Segmentation

Vladimir Cherkassky, Yunqian Ma and Harry Wechsler

A Novel Self-Organizing Neural Network for Defect Image Classification

Jussi Pakkanen and Jukka Iivarinen

Histogram Coding For Recognition of Contours Presented By Bezier Curves

Michael Kussul and Alla Galinskaya

Recognizing Objects in Non-Controlled Backgrounds by an Appearance Two-Step Approach

M. Asuncion Vicente, Cesar Fernandez and Oscar Reinoso

A Face Detection System using Shunting Inhibitory Convolutional Neural Networks

Fok Hing Chi Tivive and Abdesselam Bouzerdoum

Image Enlargement as an Edge Estimation

Chi-kin Chow and Hung-Tat Tsui

Unsupervised NN and Graph Matching Approach to Compare Data Sets

Giuseppe Acciani, Girolamo Fornarelli and Luciano Liturri

Iris Recognition by a Rotation Spreading Neural Network

Hironobu Takano, Maki Murakami and Kiyomi Nakamura

Effect of Noise on the Performance of Temporally-Sequenced Intelligent Block-Matching and Motion-Segmentation Algorithm

Xiaofu Zhang and Ali A. Minai

Video Summarization and Browsing Using Growing Cell Structures

Irena Koprinska and James Clark

Hardware Implementations

Pulsed Neural Networks Based on Delta-Sigma Modulation Suitable for Hardware Implementation

Yoshimitsu Murahashi, Hirohisa Hotta, Shinji Doki and Shigeru Okuma

FPGA Implementation of Bayesian Neural Networks for a Stand Alone Predictor of Pollutants Concentration in the Air

Salvatore Marra, Francesco Carlo Morabito, Pasquale Corsonello and Mario Versaci

A MOS Circuit for Depressing Synapse and its Application to Contrast-Invariant Pattern Classification and Synchrony Detection

Tetsuya Asai, Yusuke Kanazawa and Yoshihito Amemiya

An FPGA Implementation of 1,024-Neuron System for PAPR Reduction of OFDM Signal

Masaya Ohta, Atsushi Mori and Katsumi Yamashita

The Library of Building Blocks for an "Integrate and Fire" Neural Network on a Chip

Daniel Hajtas and Daniela Durackova

RTD-based Compact Programmable Gates (Special Session Sc)

Jose M Quintana, Maria J Avedillo and Hector Pettenghi

Tools and Techniques for Evaluating Reliability of Defect-Tolerant Nano Architectures (Special Session Sc)

Debayan Bhaduri and Sandeep Shukla

Training Fast Mixed-Signal Neural Networks for Data Classification

Steffen Hohmann, Johannes Fieres, Karlheinz Meier, Johannes Schemmel, Tillmann Schmitz and Felix Schuermann

A Simple MOSFET Model Of An Artificial Synapse

Momchil Milev

Prototype Optoelectronic Hamming Neural Network

Marta Ruiz-Llata, David Cambre and Horacio Lamela

Digital Pulse Mode Neuron with Robust Nonlinear Activation Function

Hiroomi Hikawa

Implementation of a Large Scale Hardware Neural Network System based on Stochastic Logic

Akiyoshi Momoi, Shunsuke Akimoto, Shigeo Sato and Koji Nakajima

Reversible Logic Neural Networks

Anas N. Al-Rabadi

Self-Organizing Map Hardware Accelerator System and its Application to Realtime Image Enlargement

Hakaru Tamukoh, Takashi Aso, Keiichi Horio and Takeshi Yamakawa

CPCA: A VLSI Efficient Neural PCA without Multipliers 

Radu Dogaru

Signal Processing

Deployment of Head-Related Transfer Function using All-Pole Filters and Neural Network-Based Storage Devices

Wai Chu

TLS Linear Prediction with Optimum Root Selection for Resolving Closely Space Sinusoids

Chi Fuk So, Sin Chun Ng and Shu Hung Leung

Expert Systems and Artificial Neural Networks applied to Stellar Optical Spectroscopy: A Comparative Analysis

Carlos Dafonte, Alejandra Rodriguez, Bernardino Arcay, Minia Manteiga and Iciar Carricajo

A Loudspeaker Response Model using Tuneable Approximate Piecewise Linear Regression

Anthony Zaknich

Information-Theoretic Approach to multi channel Signal Extraction by Multiple Interference Cancellation in Electrochemical Array Data

Guillermo Bedoya, Sergio Bermejo and Joan Cabestany

Continuous Time Delay Neural Networks for Detection of Temporal Patterns in Signals

Reza Derakhshani and Stephanie Schuckers

Time-series Analysis

Interdisciplinary Research and Speech Rhythm

Oleg Skljarov

Financial Forecasting using Random Subspace Classifier

Dmitry Zhora

Option Pricing and Trading With Artificial Neural Networks and Advanced Parametric Models With Implied Parameters

Panayiotis Andreou, Spiros Martzoukos and Chris Charalambous

Enhanced Forecasting Approach -- An Integration of NGARCH and Hybrid BPNN-Weighted Grey-C3LSP

Bao Rong Chang

A Retraining Neural Network Technique for Glass Manufacturing Data Forecasting

Iulian Nastac and Adrian Costea

Demand Forecasting by the Neural Network with Fourier Transform

Makiko Saito and Yoshitsugu Kakemoto

Daily Peak Temperature Forecasting with Elman Neural Networks

Salvatore Vitabile, Mose' Pernice and Salvatore Gaglio

Electric Load Demand Prediction using Neural Networks Trained by Kalman Filtering

Edgar Sanchez, Alma Alanis and Jesus Rico

Learning Mappings in Brain Machine Interfaces with Echo State Networks

Yadunandana Rao, Sung-Phil Kim, Justin C. Sanchez, Deniz Erdogmus and Jose Principe

A SVCA Model for The Competition on Artificial Time Series

Federico Palacios-Gonzalez

Prediction of the CATS benchmark using a Business Forecasting Approach to Mulitlayer Perceptron Modelling

Sven F. Crone, Heiko Kausch and Dieter Pressmar

Forecasting Electricity Market Prices: A Neural Network based Approach

Y. Y. Xu, Rex Hsieh, Y. L. Lu, Y. C. Shen, S. C. Chuang, H. C. Fu, Bock Christoph and H.T. Pao

Counterpropagation with Delays for Financial Prediction

Carmen Fierascu and Claudia-Lidia Badea-Simionescu

Neural Network Prediction of the Wave Influence on the Yaw Motion of a Ship

Viorel Nicolau, Emil Ceanga and Rustem Popa

Probabilistic and Information Theoretical Methods

Systematic Testing of Generalization Level During Training in Regression-Type Learning Scenarios

Pablo Zegers and Malur Sundareshan

Clustering using Neural Networks and Kullback-Leibler Divergency

Allan Medeiros, Adriao D. Doria Neto, Jorge Dantas de Melo and Alfredo Costa

Randomized Approach to Verification of Neural Networks

Radoslaw Zakrzewski

Partially Observed Values

Tapani Raiko

Teacher-Directed Information Maximization

Ryotaro Kamimura

Greedy Network-Growing by Minkowski Distance Functions

Ryotaro Kamimura and Osamu Uchida

Accuracy of Joint Entropy and Mutual Information Estimates

Fulop Bazso, Andrea Petroczi and Laszlo Zalanyi

A Quick Learning Method with Gamble --A Learning System that Hates Learning—

Koichiro Yamauchi, Oshima Ryuji and Omori Takashi

A Training-time Analysis of Robustness in Feed-Forward Neural Networks

Cesare Alippi, Daniele Sana and Fabio Scotti

Cognitive Information Processing

Scene Learning and Glance Recognizability based on Competitively Growing Spiking Neural Network

Masayasu Atsumi

Symbol Grounding Transfer with Hybrid Self-Organizing/Supervised Neural Networks

Thomas Riga, Angelo Cangelosi and Alberto Greco

Classifying Cognitive States from fMRI Data using Neural Networks

Iosif-Viorel Onut and Ali A. Ghorbani

On the Need for On-line Learning in Brain-Computer Interfaces

Jose del R. Millan

Value System Development for a Robot

Xiao Huang and Juyang Weng

Incremental Learning of Temporal Sequences Using State Memory and a Resource Allocating Network

Yoshio Konishi and Robert Fujii

Neural Techn. for Electronic and Power Systems

A Double Integrated Neural Network for Identification of Geometrical Features Dependency in Lumped Models

Antonio Luchetta, Stefano Manetti and Luca Pellegrini

Supervisory Level Neural Network Identifier for a Small Power System with a STATCOM and a Generator

Salman Mohagheghi, Ronald G. Harley and Ganesh K. Venayagamoorthy

Volterra Series and Neural Networks to Model an Electronic Device Nonlinear Behavior

Georgina Stegmayer

Comparison between Backpropagation and RPROP Algorithms Applied to Fault Classification in Transmission Lines

Benemar Souza, Nubia Brito, Washington Neves, Kleber Silva, Ricardo Lima and Sandra Silva

Neural Block Control for a Synchromous Generator

Victor Benitez, Edgar Sanchez and Alexander Loukianov

Pattern Recognition II

Neural Network Models for Fabric Drape Prediction

Antony Lam, Amar Raheja and Muthu Govindaraj

Neural Neutron/gamma Discrimination in Organic Scintillators for Fusion Applications

Basilio Esposito, Luigi Fortuna and Alessandro Rizzo

Adaptive Task Decomposition and Modular Multilayer Perceptrons for Letter Recognition

Guiping Lie, Daqi Gao, Renliang Li and Changwu Li

Recuperating Spectral Features Using Glottal Information and Its Application to Speaker Recognition

Pu Yang, Yingchun Yang and Zhaohui Wu

Visual Comparison of Performance for Different Activation Functions in MLP networks

Leszek Rybicki and Filip Piekniewski

Learning Multiple Correct Classifications from Incomplete Data using Weakened Implicit Negatives

Stephen Whiting and Dan Ventura

Performance comparison of Neural Networks and Maximum Likelihood for Supervised Classification of Agricultural Crops: Single Date and Temporal Analysis

Jose Marinaldo Gleriani, Jose Demisio S. Silva and Jose Carlos Neves Epiphanio

Approach to Recognition of License Plate Numbers Using Neural Networks

Ihor Paliy, Volodymyr Turchenko, Volodymyr Kochan, Vasyl Koval, Anatoly Sachenko and George Markowsky

Labeled and Unlabeled Data in Text Categorization

Catarina Silva and Bernardete Ribeiro

Single Categorizing and Learning Module for Temporal Sequences

Jan Koutnik and Miroslav Snorek

A Modified Direction Feature for Cursive Character Recognition

Michael Blumenstein, Xin Yu Liu and Brijesh Verma

Wednesday, 28 July, 16:00 - 19:00    FUZZ-IEEE Poster Sessions & Coffee

Fuzzy Control

A Generalized Fuzzy Hyperbolic Modeling and Control Scheme

Zhang Mingjun, Zhang Huaguang and Liu Derong

Adaptive Fuzzy Output Feedback Control for Nonlinear MIMO Systems

Shaocheng Tong and Yan Shi

Rule Chain and Dominant Rule Control Algorithm for Unknown Nonlinear Systems

 Hailiang Zhao

Feedback Control via Popov for Fuzzy Systems with Input Saturations

Ji-Chang Lo and Min-Long Lin

Approximation Capability Analysis of Hierarchical Takagi-Sugeno Fuzzy Systems

Xiao-Jun Zeng and John Keane

Analysis of Autoregressive Fuzzy Systems

Zdenek Vlcek

A Weighting Dependent Lyapunov Function Based Relaxed Stability Criterion for T-S Fuzzy Discrete Systems

Wen-June Wang, Chung-Hsun Sun and Chung-Chia Kang

Approximations of Large Rule Fuzzy Logic Controller by Simplest Fuzzy Controller

Rakesh Arya, R. Mitra and Vijay Kumar

Predictive Control Based on Fuzzy Model for Steam Generator

Daniela Andone and Andrei Hossu

Robot hand tracking using adaptive fuzzy control

Perez Carlos, Reinoso Oscar, Garcia Nicolas and Vicente Maria Asuncion

Robust Stable Feedback Linearization of Fuzzy Modeled Nonlinear Systems via LMI's

Chang-Woo Park, Young-Ouk Kim, Jongbae Lee and Ha-Gyeong Sung

The Discourse Self-adapting Fuzzy Controller for Temperature Control Processing in Disinfecting Cupboard

Yongquan Yu, Ying Huang and Bi Zeng

Output Regulation for Discrete-time Nonlinear Time-Varying Delay Systems: An LMI Approach

Tung-Sheng Chiang, Chian-Song Chiu and Peter Liu

Output Regulation Control via Virtual Model Reference Approach

Peter Liu, Tung-Sheng Chiang and Chian-Song Chiu

Control of Discrete-Time Chaotic Systems Using One-Step-Ahead Adaptive Fuzzy Controller

Feng Wan, Huilan Shang and Li-Xin Wang

How to Tune Fuzzy Controllers

Eduardo Gomez-Ramirez and Armando Chavez-Placencia

Design and Analysis of SISO Fuzzy Logic Controller for Power Electronic Converters

Viswanathan Kanakasabai, Dipti Srinivasan and Ramesh Oruganti

Fine Control of Monotonic Systems using a Global Self-Learning Adaptive Fuzzy Controller

Hector Pomares, Ignacio Rojas, Luis Javier Herrera, Jesus Gonzalez and Alberto Prieto

Development of a Type-2 Fuzzy Proportional Controller

Woei Wan Tan and Junwei Lai

Fuzzy Control for Fuzzy Interval Systems. Part II : Application to Inverse Model Based Control

Reda Boukezzoula, Laurent Foulloy and Sylvie Galichet

Fuzzy Controllers for Tire Slip Control in Anti-lock Braking Systems

Radu-Emil Precup, Stefan Preitl, Marius Balas and Valentina Balas

Stabilisation of Takagi-Sugeno Models with Maximum Convergence Rate

Chadli Mohammed, Maquin Didier and Ragot Jose

Design of Robust Observer for Uncertain Takagi-Sugeno Models

Abdelkader Akhenak, Mohammed Chadli, Jose Ragot and Didier Maquin

Fuzzy Database Mining and Forecasting

A Fuzzy Multidimensional Model for Supporting Imprecision in OLAP

Miguel Delgado, Carlos Molina, Daniel Sanchez, Amparo Vila and Lazaro Rodriguez-Ariza

FRID:Fuzzy-Rough Interactive Dichotomizers

Rajen Bhatt and Gopal M.

Clustering and Refinement of Hierarchical Concept from Categorical Databases Based on Rough Sets

Been--Chian Chien and Su-Yu Liao

Predictive Fuzzy Clustering Model for Natural Streamflow Forecasting

Marina Magalhaes, Rosangela Ballini and Fernando Gomide

Natural Partitioning-based Forecasting Model for Fuzzy Time-Series

 Sheng-Tun Li and Yeh-Peng Chen

 Fuzzy Information Retrieval

Fuzzy Histograms and Fuzzy Chi-Squared Tests for Independence

Thomas Runkler

Image Retrieval using Fuzzy Similarity: Measure Equivalence based on Invariance in Ranking

Jean-Francois Omhover, Marcin Detyniecki and Maria Rifqi

On Fuzzy Information Radius and its Properties

Om Parkash and Subhash Kumar

On Aggregation Operators of Transitivity Similarity

Jorge Orozco and Lluis Belanche

Fuzzy Aggregation Operators in Region-Based Image Retrieval

Zoran Stejic, Yasufumi Takama and Kaoru Hirota

Eigen Fuzzy Sets and Image Information Retrieval

Salvatore Sessa, Ferdinando Di martino and Hajime Nobuhara

Induction of Fuzzy Decision Rules Based upon Rough Sets Theory

Grzegorz Drwal and Marek Sikora

Fuzzy Relational Knowledge Representation and Context in the Service of Semantic Information Retrieval

 Manolis Wallace and Yannis Avrithis

Fuzzy Computing with Words

A Case Study to Illustrate the Use of Non-Convex Membership Functions for Linguistic Terms

Jonathan Garibaldi, Salang Musikasuwan, Turhan Ozen and Robert John

A Soft Method for Analyzing Properties of Web Documents

Daniel Szege

Fuzzy Pattern Recognition and Image Processing

Robust C-Shells Based Deterministic Annealing Clustering Algorithm

Xulei Yang, Qing Song and Aize Cao

Comparison of two Different Dimension Reduction Methods in Classification by Arithmetic, Geometric and Harmonic Similarity Measure

Pasi Luukka and Aurel Meyer

Computer-aided Diagnosis in Clinical Endoscopy using Neuro-Fuzzy Systems

Vassilis Kodogiannis

Fuzzy Enhancement Method Using Logarithmic Models

Vasile Patrascu

Tree Structures Smooth Transition Regression

Joel Da Rosa, Alvaro Veiga Filho and Marcelo Medeiros

Robotics

Trajectory Tracking of Robot Using a Fuzzy Decentralized Sliding-Mode Tracking Control

Chih-Lyang Hwang and Hung-Yueh Lin

Car Navigation and Collision Avoidance System with Fuzzy Logic

Andri Riid, Dmitri Pahhomov and Ennu Rustern

Adaptive Control Of Robot Manipulators Using Fuzzy Logic Systems Under Actuator Constraints

Shubhi Purwar, Inder Narayan Kar and Amar Nath Jha

Accuracy Based Fuzzy Q-Learning for Robot Behaviours

Dongbing Gu and Huosheng Hu

Feature Based Robot Navigation: Using Fuzzy Logic and Interval Analysis

Immanuel Ashokaraj, Antonios Tsourdos, Peter Silson, Brian White and John Economou

Wednesday, 28 July,  16:30 – 17:30      FUZZ-IEEE Panel Session PAN2

 16:30

Internet, Information Retrieval and Soft Computing 

Moderated by Masoud Nikravesh

 

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THURSDAY, 29 JULY

 

Thursday, 29 July , 09:10-09:50        IJCNN Plenary talk

09:10 

Artificial Neural Networks, Where Do We Go Next?

Dan Hammerstrom

Thursday, 29 July, 09:10-09:50        FUZZ-IEEE Plenary talk

09.10 

Taxonomy-based Soft Similarity Measures in Bioinformatics

Jim Keller

 

 

09:50 –1 0:10                    Coffee break

Thursday, 29 July, 10:10-12:10        IJCNN Parallel Sessions

Support Vector Machines and Kernel Methods II

10:10

The Support Vector Machine Learning Using the Second Order Cone Programming

Rameswar Debnath, Masakazu Muramatsu and Haruhisha Takahashi

10:30

Support Vector Classifiers via Gradient Systems with Discontinuous Righthand Sides

Leonardo Ferreira, Eugenius Kaszkurewicz and Amit Bhaya

10:50

Applications of Clifford Support Vector Machines and Clifford Moments for Classification

Eduardo (Edu) Bayro-Corrochano, Refugio Vallejo-Gutierrez and Nancy Arana-Daniel

11:10

Texture Classification by Support Vector Machines with Kernels for Higher-Order Gabor Filtering

Keisuke Kameyama and Kei Taga

11:30

Kernels Based on Weighted Levenshtein Distance

Jianhua Xu and Xuegong Zhang

11:50

Kernel-Based Canonical Coordinate Decomposition of Two-Channel Nonlinear Maps

Ali Pezeshki, Mahmood Azimi-Sadjadi and Louis Scharf

Computational Neuroscience

10:10

Extracting Information in a Graded Manner from a Neural-network System with Continuous Attractors

Yukihiro Tsuboshita and Hiroshi Okamoto

10:30

Design of Spatially Extended Neural Networks for Specific Applications

Rod Adams, Rene teBoekhorst, Alistair Rust and Maria Schilstra

10:50

Influence of Dendritic Spines Shape Changes by Learning

Vadym Spravedlyvyy, Andreas Herzog, Bernd Michaelis, Katharina Braun and R. Schnabel

11:10

Clustering with Minicolumnar Receptive Field Self-Organization

Jorg Lucke

11:30

Synchronized Subthreshold Oscillations and Phase Coding in a Network Model of the Entorhinal Cortex

Jun Igarashi, Motoharu Yoshida, Katsumi Tateno and Hatsuo Hayashi

11:50

Dendritic Spiking Accounts for Rate and Phase Coding in a Biophysical Model of a Hippocampal Place Cell

Zsofia Huhn, Lengyel Mate, Orban Gergo and Erdi Peter

Noise in N N & Hippoc. Function (ENNS Combined Special Session)

10:10

Noise Induced Phenomena in Jump Diffusion Models for Single Neuron Spike Activity (Special Session S4)

Roberta Sirovich and Laura Sacerdote

10:30

Nonlinear Oscillation Models for the Spike Sorting of Single Units Recorded Extracellularly (Special Session S4)

Tetyana Aksenova, Olga K. Chibirova and Alessandro E. P. Villa

10:50

Stochastic Dynamics and Partial Synchronization of Stimulus-Driven Neural Activity (Special Session S4)

Roman Borisyuk

11:10

On Noise Induced Resonances in Neurodynamic Models

Derek Harter and Robert Kozma

11:30

Structural Hierarchies, Theta Rhythm, Hippocampal Function (Special Session S9)

Erdi Peter

11:50

Hippocampal Theta Phase Coding for Instantaneous Acquisition of Experienced Events (Special Session S9)

Yoko Yamaguchi, Aota Yoshito, Naoyuki Sato, Hiroaki Wagatsuma and Zhihua Wu

Digital Impl. of Neural Networks (Special Session)

10:10 

Trends in Design of Massively Parallel Coprocessors Implemented in ASICs

Peter Foldesy

10:30 

Emulated Digital CNN-UM Implementation of a Barotropic Ocean Model

Zoltan Nagy and Peter Szolgay

10:50 

FPGA Implementation of the Kernel CMAC

Gabor Horvath and Zsolt Csipak

11:10 

The Impact of Modern FPGA Architectures on Neural Hardware: A Case Study of the TOTEM Neural Processor

Stephanie McBader, Peter Lee and Alvise Sartori

11:30 

Neural Vision Sensors for Surface Defect Detection

Suleyman Malki, Lambert Spaanenburg and Nick Ray

11:50 

Hw-Sw Codesign of a Flexible Neural Controller through a FPGA-based Neural Network Programmed in VHDL

Eros Pasero and Massimiliano Perri

Speech Recognition

10:10 

Efficient Training of Large Neural Networks for Language Modeling

Holger Schwenk

10:30 

Acoustic Model Combination for Recognition of Speech in Multiple Languages using Support Vector Machines

Suryakanth V. Gangashetty, Chandra Sekhar Chellu and Yegnanarayana Bayya

10:50 

Speech Recognition Based on Fundamental Functional Principles of the Brain

Alireza A. Dibazar, Dong Song, Walter Yamada and Theodore W. Berger

11:10 

The Application of Polynomial Discriminant Function Classifiers to Isolated Arabic Speech Recognition

Mohammed Khasawneh, Khaled Assaleh, Wesam Sweidan and Monther Haddad

11:30

An Adaptive Recurrent Neuro-Fuzzy Filter for Noisy Speech Enhancement

Sheng-Nan Wu and Jeen-Shing Wang

11:50

Two Neural Netwrok Pradigms of Phoneme Transcription - a Comparison

Terje Kristensen

Thursday, 29 July, 10:10-12:10                    FUZZ-IEEE Parallel Sessions

Fuzzy Control and Robotics (Part I)

10:10 

Fuzzy Controller Design for Discrete Time-Delay Affine Takagi-Sugeno Fuzzy Systems

Wen-Jer Chang and Wei Chang

10:34

Fuzzy Stability Supervision of Robot Grippers

Ralf Mikut, Arne Lehmann and Georg Bretthauer

10:58 

A Design for a Class of Fuzzy Control Systems with State Observer

Hugang Han

11:22

Fuzzy Logic Based Nonlinear Kalman Filter Applied to Mobile Robots Modelling

Rodrigo Carrasco and Aldo Cipriano

11:46

Genomic Systems Design: A Novel, Biologically-based Framework for Enhancing the Adaptive, Autonomous Capabilities of Computer Systems

William Combs, Jeffrey Weinschenk and Robert Marks

Advanced Algorithms in Fuzzy Clustering (Invited) + Information Systems

10:10 

LVQ Clustering and SOM Using a Kernel Function

Ryo Inokuchi and Sadaaki Miyamoto

10:30 

On Parameter Setting in Applying Dave's Noise Fuzzy Clustering to Gaussian Mixture Models

Hidetomo Ichihashi and Katsuhiro Honda

10:50 

Detection of Local Linear Structure from Data with Uncertainties

Katsuhiro Honda and Hidetomo Ichihashi

11:10 

On Some Hierarchical Clustering Algorithms Using Kernel Functions

Yasunori Endo, Hideyuki Haruyama and Takayoshi Okubo

11:30

An Adaptive Bidding Agent for Multiple English Auctions: A Neuro-Fuzzy Approach

Minghua He, Nicholas Jennings and Adam Prugel-Bennett

11:50

Construction of Pedestrian Navigation System and Its Evaluation

Akasaka Yuta and Onisawa Takehisa

Fuzzy Logic and Mathematics

10:10 

Towards Argumentation-based Decision Making: A possibilistic logic approach

Leila Amgoud and Henri Prade

10:27

A Comparison of Three Methods for Computing the Center of Gravity Defuzzification

Ester Van Broekhoven and Bernard De Baets

10:44 

Application of Interpolation-based Fuzzy Logic Reasoning in Behaviour-based Control Structures

Szilveszter Kovacs and Laszlo T. Koczy

11:01 

Efficient Fuzzy Arithmetic for Nonlinear Functions of Modest Dimension using Sparse Grids

Andreas Klimke and Barbara Wohlmuth

11:18

Fuzzy Relational Equations in Monoidal Logics

Ladislav Kohout

11:35

Computationally Efficient Incremental Transitive Closure of Sparse Fuzzy Binary Relations

Manolis Wallace and Stefanos Kollias

11:52

Indistinguishability Operators generated by fuzzy Numbers

Joan Jacas and Jordi Recasens

Philosophy of Soft Computing (Invited)

10:10

Ontological Grounding of Fuzzy Theory

I. Burhan Turksen

10:27

Scientific Outlook from Soft-Computing Standpoint

Vesa Niskanen

10:44

DNA Computing Approach to Optimal Decision Problems

Junzo Watada, Satoshi Kojima, Satomi Ueda and Osamu Ono

11:01

On Aristotelian Tradition and Fuzzy Revolution

Jorma Mattila

11:18

40 years ago: "Fuzzy Sets" is going to be published

Rudolf Seising

11:35

Spatial Knowledge Creation In A Circular World - Perspectives On Logical And Visual Communication In A Social Space

Susanne Kratochwil and Josef Benedikt

11:52

A Philosophical Study on Meaning and Fuzzy Sets

Tero Joronen

 

 

12:10 –14:00      Lunch break

Thursday, 29 July, 14:00-15:40        IJCNN Parallel Sessions

Bioinformatics and Biomedical Comp. (ENNS Special Session)

14:00 

Neural-ICA and Wavelet Transform for Artifacts Removal in surface EMG

Francesco Carlo Morabito, Bruno Azzerboni, Mario Carpentieri and Fabio La Foresta

14:20 

An Information Geometric Approach to Survival Analysis and Feature Selection by Neural Networks

Antonio Eleuteri, Roberto Tagliaferri, Leopoldo Milano, Fausto Acernese and Michele De Laurentiis

 14:40

HLA Typing Using a Fuzzy Approach

Giovanni Battista Ferrara, Francesco Masulli and Stefano Rovetta

 15:00

Estimation of Bone Mineral Density Data Using MoG Neural Networks

Antonello Rizzi, Massimo Panella and Fabio Massimo Frattale Mascioli

 15:20

Neuro-Fuzzy Analysis of Dermatological Images

Ciro Castiello, Giovanna Castellano and Anna Maria Fanelli

Quantum Computing and Neural Networks

14:00

A Study on Neuromorphic Quantum Computation

Shigeo Sato, Mitsunaga Kinjo, Osamu Takahashi, Yuuki Nakamiya and Koji Nakajima

14:20

Vector Quantization Complexity and Quantum Computing

Paolo Gastaldo, Sandro Ridella and Rodolfo Zunino

 14:40

A Self-Adaptive Quantum Radial Basis Function Network for Classification Applications

Cheng-Jian Lin, Cheng-Hung Chen and Chi-Yung Lee

15:00

Turing Machine Simulation Using Hard-limiter Neurons [#1186] 

Narendra S. Chaudhari and Nirmal Dagdee

Neurodynamics

14:00

Self-control Dynamics for Sparsely Coded Networks with Synaptic Noise

Desire Bolle and Rob Heylen

14:20 

Response Space Construction for Neural Error Correction

Michael Stiber and Mark Pottorf

 14:40 

Modified Freeman Model: A Stability Analysis and Application to Pattern Recognition

Mustafa Ozturk, Dongming Xu and Jose Principe

 15:00 

Cholinergic Effects on Spectral Properties of Spike Trains in Rat Cortical Neurons

Takashi Tateno, Yasuhiko Jimbo and Hugh Robinson

 15:20

Modeling Nonlinear Neural Dynamics with Volterra-Poisson Kernels (Special Session Se)

Spiros Courellis, Ghassan Gholmieh, Vasilis Marmarelis and Theodore W. Berger

Machine learning for text mining (ENNS Special Session)

14:00

On Text-Based Estimation of Document Relevance

Eerika Savia, Samuel Kaski, Ville Tuulos and Petri Myllymaki

14:20

Topic Based Language Models for ad hoc Information Retrieval

Leif Azzopardi, Mark Girolami and Keith van Rijsbergen

 14:40

Context Based Identification of User Communities from Internet Chat

Ata Kaban and Xin Wang

 15:00

Modelling the Connectivity Between Terms in the Neuroscience Literature

Filip Deleus and Marc M. Van Hulle

15:20

FALCON: A Fusion Architecture for Learning, COgnition, and Navigation

Ah-Hwee Tan

Robotics and Learning

14:00

Developmental Learning on a Humanoid Robot

Artur Arsenio

14:20 

Evolving Adaptive, High-Dimensional, Camera-Based Speed Sensors

Ralf Salomon

 14:40 

A Locomotion of a Quadruped Robot Using CPG

Takayuki Ishii, Seiji Masakado and Kazuo Ishii

 15:00 

More Effective Reinforcement Learning by Introducing Sensory Information

Keiji Kamei and Masumi Ishikawa

15:20

Biased Support Vector Machine for Relevance Feedback in Image Retrieval 

Chu-Hong Hoi, Chi-Hang Chan, Kaizhu Huang, Michael Lyu and Irwin King

Thursday, 29 July, 14:00-16:20                    FUZZ-IEEE Parallel Sessions

Fuzzy Control and Robotics 2

14:00

Stabilization of Nonlinear Systems based on Piecewise Lyapunov Functions

Tadanari Taniguchi and Michio Sugeno

14:20

Output Regulation Control via Fuzzy Operational Point Reference Approach

Chian-Song Chiu, Tung-Sheng Chiang and Peter Liu

 14:40

Internet-Based Remote Stabilization for Nonlinear Systems

Kazuo Tanaka, Hiroshi Ohtake and Hua Wang

 15:00

Fuzzy Reference Gain-Scheduling Approach as Intelligent Agents: FRGS Agent

Jose Ernesto Araujo, Karl Heinz Kienitz, Sandra A. Sandri and J.D.S. da Silva

15:20

Fuzzy Control for Fuzzy Interval Systems. Part I: Solving First Order Fuzzy Equations

Reda Boukezzoula, Laurent Foulloy and Sylvie Galichet

15:40

Obtaining a Fuzzy Controller with High Interpretability in Mobile Robots Navigation

Manuel Mucientes and Jorge Casillas

Fuzzy Modeling (Invited)

14:00

Two Step Feature Selection: Approximate Functional Dependency Approach Using Membership Values

Ozge Uncu and I. Burhan Turksen

14:20

Construction of Fuzzy Signature from Data: An Example of SARS Pre-clinical Diagnosis System

Kok Wai Wong, Tamas D. Gedeon and Laszlo T. Koczy

 14:40

Regularized Numerical Optimization of Fuzzy Rule Bases

Johannes Himmelbauer and Mario Drobics

 15:00

3D Model Estimation from Multiple Images

Andras Rovid, Annamaria R. Varkonyi-Koczy and Peter Varlaki

15:20

Estimating fuzzy membership functions parameters by the Levenberg-Marquardt algorithm

Janos Botzheim, Cristiano Cabrita, Laszlo T. Koczy and Antonio Ruano

15:40

A New Cluster Validity Criterion for Fuzzy C-Regression Model and Its Application to T-S Fuzzy Model Identification

Chung-Chun Kung and Chih-Chien Lin

Database Mining and Decision Making

14:00

Modifying Weighted Fuzzy Subsethood-based Rule Models with Fuzzy Quantifiers

Khairul Rasmani and Qiang Shen

14:20

Clustering-based Identification of TS-models: Comparison on a Groundwater Model Case Study

Hilde Vernieuwe, Bernard De Baets and Niko Verhoest

 14:40

Fuzzy Rules from Ant-Inspired Computation

Michelle Galea and Qiang Shen

 15:00

Active Fuzzy Clustering for Collaborative Filtering

Narayan Srinivasa and Swarup Medasani

15:20

Identification of Recurrent Fuzzy Systems with Genetic Algorithms

Alexandre G. Evsukoff and Nelson F. F. Ebecken

15:40

A Fuzzy Multiple Criteria Decision Making Model for Software Selection

Hsuan-Shih Lee, Pei-Di Shen and Wen-Li Chyr

Clustering and Image Processing 2.

14:00

Generation of Various Eigen Fuzzy Sets by Permutation Fuzzy Matrix and its Application to Image Analysis

Hajime Nobuhara, Kaoru Hirota and Barnabas Bede

14:20

Fuzzy Hamming Distance in a Content-Based Image Retrieval System

Mircea Ionescu and Anca Ralescu

 14:40

A Fuzzy Classifier for Imbalanced and Noisy Data

Sofia Visa and Anca Ralescu

 15:00

Fuzzy Algorithm for Contextual Pattern Recognition

Waibhav Tembe and Anca Ralescu

15:20

Aggregation as Similarity in a Morphological Framework for the Processing of Textile Images

Aureli Soria-Frisch, Mario Koeppen and Bertram Nickolay

15:40

Landmine Detection with Ground Penetrating Radar using Fuzzy K-Nearest Neighbors

Hichem Frigui, Paul Gader and Kotturu Satyanarayana

 

 Thursday, 29 July, 15:45-16:15                       IJCNN Plenary Closing Session

15:45

Closing

Joos Vandewalle

Thursday, 29 July, 16:20-16:50                       FUZZ-IEEE Plenary Closing Session

16:20 

Closing

Kaoru Hirota

 

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