Tunning fuzzy model parameters with stochastic algorithms

摘要：

The article subject is Mamdani model parameters optimization with stochastic algorithms. Consequently, this work describes the problem of setting fuzzing curves parameters of a model input and output. Stochastic algorithm has been described and also the results of its application in the process of Mamdani model parameters tuning. Matlab programming environment was applied in order to design the application presenting Mamdani model tuning process with stochastic algorithm for two testing functions: Rosenbrock and Rastrigin ones.

作者: Pieczynski Andrzej

作者单位: Faculty of Electrical Engineering, Computer Sciences & Telecommunication University of Zielona Gora, UZ, Licealna Str. 9, 65-417 Zielona Gora, Poland

会议类型: 国际会议

会议名称: 2011 Eighth International Conference on Fuzzy System and Knowledge Discovery(第八届模糊系统与知识发现国际会议 FSKD 2011)

会议地点: 上海

会议语种:英文

页码: 316-320

在线出版日期: 2011-07-26（万方平台首次上网日期，不代表论文的发表时间）