Conference Topics

Contributions related, but not limited, to the following topics of interest are welcome:

Mathematical foundation of Neural Networks (NN)
Learning Theory, Supervised and Unsupervised learning
Architectures of NN
NN for Function approximation
NN for Regression analysis
NN for Time series prediction and modelling
NN for Classification
NN for Pattern and sequence recognition
NN for Novelty detection
NN for Sequential decision making
NN for Data processing
NN for Filtering
NN for clustering
NN for blind signal separation
NN for Compression
Hybrid and Knowledge Based Networks
Algorithms of NN
Neural network software
Supervised learning
Unsupervised learning
Reinforcement learning
Neuro-Fuzzy Systems
Neural Networks training via Genetic Algorithms
Evolutionary Computing for NN
Modern Learning algorithms
Optimization theory for NN
Statistical estimation for NN
Simulated annealing for NN
Expectation maximization for NN
Non-parametric methods for NN
Machine Learning
Particle swarm optimization for NN
Other swarm intelligence techniques for NN
Neural networks and neuroscience
Theoretical and computational neuroscience
Theoretical analysis of biological neural systems
computational modeling of biological neural systems
NN and Cognitive processes and behaviour
Biological processes (data) in neural cells
Biologically plausible mechanisms for neural processing
Biologically plausible mechanisms for learning
Universal Approximators' problems and formalism
Neurodynamics and Attractor Networks
NN and Chaos
Digital Implementation of NN (FPGA, DSP, ASIC, etc...)
Analog Implementation of NN (MOS, CMOS Tehcnologies, etc.)
Mixed Implementation of NN
Neurobiology and neurosciences
Prediction, Estimation and Statistics
Non-linear Systems' study via NN
Complex Systems' and Very Large Scale Systems' study via NN
Neural Control
NN in Robotics and Mechatronics
NN applications in Signal Processing
NN applications in Communications
NN applications in Networking
NN applications in Power Systems
NN applications in Production Systems
Biological, Environmental, Space Science, Health Science, Financial Science Applications of NN
NN applications in Mechanical, Chemical, Civil, Naval, Agricultural Engineering

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