Learning Technique for TSK Fuzzy Model Based on Cooperative Coevolution

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