posted by user: allonnes || 4373 views || tracked by 23 users: [display]

FOCI 2011 : 2011 IEEE Symposium on Foundations of Computational Intelligence

FacebookTwitterLinkedInGoogle


Conference Series : Foundations of Computational Intelligence
 
Link: http://www.ieee-ssci.org/2011/foci-2011
 
When Apr 11, 2011 - Apr 15, 2011
Where Paris, France
Submission Deadline Oct 31, 2010
Notification Due Dec 15, 2010
Final Version Due Jan 15, 2011
Categories    computational intelligence   artificial intelligence
 

Call For Papers

Part of IEEE Symposium Series on Computational Intelligence 2011

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'11 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

Related Resources

IJCAI 2019   International Joint Conference on Artificial Intelligence
SSCI 2019   The 2019 IEEE Symposium Series on Computational Intelligence
ICDMML 2019   【ACM ICPS EI SCOPUS】2019 International Conference on Data Mining and Machine Learning
ICCIA--Ei Compendex and Scopus 2019   2019 4th International Conference on Computational Intelligence and Applications (ICCIA 2019)--Ei Compendex and Scopus
ICCIA--Ei and Scopus 2019   2019 4th International Conference on Computational Intelligence and Applications (ICCIA 2019)--Ei Compendex and Scopus
CAIP 2019   Computer Analysis of Images and Patterns
ISCSAI 2018   2018 International Symposium on Computer Science and Artificial Intelligence
OLDBB-IEEE-CEC 2019   IEEE CEC 2019: Special Session on “Optimization, Learning, and Decision-Making in Bioinformatics and Bioengineering”
CogSIMA 2019   IEEE Conference on Cognitive and Computational Aspects of Situation Management
EI/Scopus--APMIE 2019   2019 Asia-Pacific Conference on Mechanical and Industrial Engineering