FOCI 2011 - FOCI 2011 2011 IEEE Symposium on Foundations of Computational Intelligence

FOCI 2011
2011 IEEE Symposium on Foundations of Computational Intelligence
Paris hosts the third IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2011) . This international event brings together at one location several symposia running concurrently, each highlighting various aspects of computational intelligence, and will attract top researchers, practitioners, and students from around the world to discuss the latest advances in the field of computational intelligence.
Computational intelligence techniques have proven useful after numerous applications in real world problems. However, there is much work to be done in order to fully understand the theoretical foundations of such techniques. IEEE FOCI'11, provides an ideal forum for those who are interested in the fundamental issues of computational intelligence to exchange their ideas and present their latest findings.
IEEE FOCI 2007 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
Symposium Co-Chairs
Manuel Ojeda-Aciego, University of Malaga, Spain
Carlos Cotta, University of Malaga, Spain
Francisco Veredas, University of Malaga, Spain

Additional Information
Please visit: http://www.gimac.uma.es/foci2011/Main.html