IJCNN
2004
The annual International Joint Conference on Neural Networks (IJCNN), is one of the premier international conferences in the field. IJCNN 2004 will cover all topics in neural networks, including: vision and image processing; auditory and speech processing; cognitive information processing; conditioning, reward and behavior; learning and memory; models of neurons and local circuits; systems neurobiology and neural modeling; neuroinformatics; reinforcement learning and adaptive dynamic programming; fuzzy neural systems; extended Kalman filters; support vector machines; principal component analysis and independent component analysis; Bayesian learning methods; biomedical applications; diagnostics and quality control and a variety of other topics. Please, find below the full topic list. IJCNN 2004 will have plenary addresses by several prominent researchers.
A
parallel conference is organized, FUZZ-IEEE
2004, with joint plenary sessions. Tutorial sessions on Sunday, July 25 will
cover some emerging technologies and methods. A satellite conference, IEEE
CNNA 2004, will be organized on the preceding week on July 22-24.
A Special Symposium will be organized on Retinal Prostheses.
Topics:
A.
PERCEPTUAL AND MOTOR FUNCTION
B. COGNITIVE FUNCTION
C. COMPUTATIONAL NEUROSCIENCE
D. INFORMATICS
E.
HARDWARE
F.
REINFORCEMENT LEARNING AND CONTROL
G.
DYNAMICS
H.
THEORY
I.
APPLICATIONS
A.
PERCEPTUAL AND MOTOR FUNCTION
Vision
and image processing
Pattern
recognition
*
Face recognition
*
Handwriting recognition
*
Other pattern recognition
Auditory
and speech processing
*
Audition
Speech
recognition
*
Speech production
*
Other perceptual systems
Motor
control and response
B.
COGNITIVE FUNCTION
Cognitive
information processing
Learning
and memory
Spatial
Navigation
Conditioning,
Reward and Behavior
Mental
disorders
Attention
and Consciousness
Language
Emotion
and Motivation
C.
COMPUTATIONAL NEUROSCIENCE
Models
of neurons and local circuits
Systems
neurobiology and neural modeling
Spiking
neurons
D.
INFORMATICS
Neuroinformatics
Bioinformatics
Artificial
immune systems
Data
mining
E.
HARDWARE
Neuromorphic
hardware and implementations
Embedded
neural networks
F.
REINFORCEMENT LEARNING AND CONTROL
Reinforcement
learning
Approximate/Adaptive
dynamic programming
Control
Reconfigurable
systems
Robotics
Fuzzy
neural systems
Optimization
G.
DYNAMICS
Neurodynamics
Recurrent
networks
Chaos
and learning theory
H.
THEORY
Mathematics
of Neural Systems
Support
vector machines
Extended
Kalman filters
Mixture
models, EM algorithms and ensemble learning
Radial
basis functions
Self-organizing
maps
Adaptive
resonance theory
Principal
component analysis and independent component analysis
Probabilistic
and information-theoretic methods
Neural
Networks and Evolutionary Computation
I.
APPLICATIONS
Signal
Processing
Telecommunications
Applications
Time
Series Analysis
Biomedical
Applications
Financial
Engineering
Biomimetic
applications
Computer
security applications
Power
system applications
Aeroinformatics
Diagnostics
and Quality Control
Other applications