Learning Technique for TSK Fuzzy Model Based on Cooperative Coevolution

Author

Jiang, Yu ; Cao, Jun ; Yang, Guo-hui

Author_Institution

Inf. & Commun. Eng. Coll., Harbin Eng. Univ.

fYear

2006

fDate

13-16 Aug. 2006

Firstpage

1924

Lastpage

1929

Abstract

TSK fuzzy model is decomposed into two different populations to cooperate coevolution model learning technique for its learning is the problems of multiple constraints and multiple target optimizations. All the related problems are discussed, including encode, evolution calculation, cooperation of every population and evaluation strategy of adaptive value. The technique presented has merits in little prior knowledge, rapid convergence and concise fuzzy model. Example of function approximation shows the technique´s validity

Keywords

convergence; cooperative systems; fuzzy control; fuzzy set theory; learning (artificial intelligence); optimisation; TSK fuzzy model; convergence; cooperative coevolution model learning technique; fuzzy sets; multiple constraints; multiple target optimizations; Constraint optimization; Convergence; Cybernetics; Educational institutions; Forestry; Fuzzy sets; Genetic algorithms; Machine learning; Microwave communication; Microwave technology; Predictive models; COOPCO-TSKFM; Coevolution; Cooperation; Fuzzy model;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2006 International Conference on

Conference_Location

Dalian, China

Print_ISBN

1-4244-0061-9

Type

conf

DOI

10.1109/ICMLC.2006.259119

Filename

4028380