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

Website www.ieee-ssci.org | Edit Freely

Category FOCI 2011

Deadline: October 31, 2010 | Date: April 11, 2011-April 15, 2011

Venue/Country: Paris, France

Updated: 2010-08-02 13:35:08 (GMT+9)

Call For Papers - CFP

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