LEARNING TECHNIQUE FOR TSK FUZZY MODEL BASED ON COOPERATIVE COEVOLUTION

摘要：

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 techniques validity.

关键词： COOPCO-TSKFM Coevolution Cooperation Fuzzy model

作者: YU JIANG JUN CAO GUO-HUI YANG

作者单位: Information and Communication Engineering College, Harbin Engineering University, Harbin 150001, Chi Communication Engineering Department, Northeast Forestry University, Harbin 150040, China Harbin Institute of Technology, Microwave Theory and Techniques Department, Harbin 150001, China

会议类型: 国际会议

会议名称: 2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

会议地点: 大连

会议语种:英文

页码: 1924-1929

在线出版日期: 2006-08-13（万方平台首次上网日期，不代表论文的发表时间）