Learning and tuning of fuzzy membership functions by simulated annealing algorithm

被引：12

作者：

Liu, GX ^{[1
]}

Yang, WH ^{[1
]}

机构：

[1] Xidian Univ, Sch Elect Engn, Xian 710071, Peoples R China

来源：

2000 IEEE ASIA-PACIFIC CONFERENCE ON CIRCUITS AND SYSTEMS: ELECTRONIC COMMUNICATION SYSTEMS | 2000年

关键词：

D O I：

10.1109/APCCAS.2000.913511

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Extracting of fuzzy rules and learning of fuzzy membership functions are important and difficult problems in the designing of fuzzy systems. The learning of membership functions for Takaigi-Sugeno fuzzy model is discussed. The learning algorithm of membership functions based on simulated annealing is also presented. Finally, an example is given to demonstrate the validity of this algorithm.

引用

页码：367 / 370

页数：4

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