Topic Areas

Topics of contributing papers include, but are not limited to, the following areas:

Neural Networks

computational neuroscience
connectionist theory
cognitive science
mathematical modeling of neural systems
neurodynamic analysis
neurodynamic optimization
adaptive dynamic programming
embedded neural systems
probabilistic and information-theoretic methods
principal and independent component analysis
hybrid intelligent systems
supervised learning
unsupervised learning
reinforcement learning
deep learning
brain imaging
neural information processing
neuroinformatics
bioinformatics
support vector machines and kernel methods
autonomous mental development
data mining
big data processing
pattern recognition
time series analysis
image and signal processing
robotic and control applications
telecommunications
transportation systems
intrusion detection and fault diagnosis
brain computer interface
neuro-engineering
neuromorphic hardware

Fuzzy Systems

Fuzzy mathematics
fuzzy measure and integral
fuzzy logic
possibility theory
fuzzy clustering
fuzzy classification
fuzzy data analysis
fuzzy decision-making
fuzzy modeling
fuzzy control
type-2 fuzzy systems
computing with words
rough sets
granular computing
fuzzy neural networks
neuro-fuzzy systems
fuzzy system architecture or hardware

Evolutionary Computation

Genetic algorithms
genetic programming
evolutionary strategy
swarm intelligence
particle swarm optimization
ant colony optimization
differential evolution
brain storm optimization
estimation of distribution algorithms
other meta-heuristics
evolutionary multi-objective optimization
evolutionary scheduling
data-driven evolutionary computation
large-scale optimization
parallel and distributed evolutionary computation
evolutionary computation for bi-level optimization
multi-tasking evolutionary computation
evolutionary computation under uncertainty
dynamic evolutionary algorithms
real world applications of evolutionary algorithms