FOCI: Foundations of Computational Intelligence

FacebookTwitterLinkedInGoogle

 

Past:   Proceedings on DBLP

Future:  Post a CFP for 2012 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
FOCI 2011 2011 IEEE Symposium on Foundations of Computational Intelligence
Apr 11, 2011 - Apr 15, 2011 Paris, France Oct 31, 2010
 
 

Present CFP : 2011

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

SSCI 2019   The 2019 IEEE Symposium Series on Computational Intelligence
IEEE IComputation 2019   The 2019 IEEE Symposium on Immune Computation
ICDMML 2019   【ACM ICPS EI SCOPUS】2019 International Conference on Data Mining and Machine Learning
CIPSBSN 2020   Special Issue Computational Intelligence for Physiological Sensors and Body Sensor Network
CAIP 2019   Computer Analysis of Images and Patterns
ICCC--IEEE, Ei and Scopus 2019   2019 IEEE 5th International Conference on Computer and Communications (ICCC 2019)--Ei Compendex and Scopus
ECML PKDD 2019   Joint Call for Papers for the Research and ADS tracks, ECML PKDD 2019
ICBDACI 2019   2nd International Conference on Big Data Analytics And Computational Intelligence
IEEE CEMag - SI on AI-in-CE - 2019   IEEE CE Magazine - Special Issue Artificial Intelligence in Consumer Electronics
ICANN 2019   28th International Conference on Artificial Neural Networks