FOCI 2014 - IEEE Symposium on Foundations of Computational Intelligence (FOCI 2014)

IEEE FOCI 2014 will focus on fundamental theoretical and practical foundations of computational intelligence, including but not limited to neural networks, fuzzy logic, evolutionary computation, and other machine learning methods. The symposium will put equal emphasis on theoretical and practical work as long as it addresses the foundations of computational intelligence.
Topics
Non-standard fuzzy sets (e.g., type-2, interval-valued, random-fuzzy, fuzzy-random, etc.)
Granular computing
Computing with words
Aggregation/fusion
Fuzzy sets and statistics
Uncertainty
Decision-making
General theoretical issues
Generalisation in neural, fuzzy and evolutionary learning
Fuzzy logic and fuzzy set theory
Lattice theory and multi-valued logic
Approximate reasoning
Type-2 fuzzy logic
Rough sets and random sets
Fuzzy mathematics
Fuzzy measure and integral
Possibility theory and imprecise probability
Neural computation
Self-organizing maps
Recurrent networks
Multilayer perceptrons
Recursive deterministic perceptrons
Evolutionary neural networks
Neural networks for pattern recognition
Neural networks for principal component analysis
General regression neural networks
Neural networks as/and fuzzy systems
Radial basis functions
Learning theory
Generalization in neural networks
Theory of Evolutionary Computation
Swarm Intelligence
Statistical Analysis and Comparison of Evolutionary Algorithms and Other Approaches
Memetic Algorithms
Hybridization and Cross-fertilization between EC and other paradigms
Parallel Evolutionary Computation
Large-scale Evolutionary Optimization
Multi-objective evolutionary optimization
Interactive evolutionary computation
Methodolgical and Algorithmic Issues in EC