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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