The self-adaptive fuzzy neural network based on evolutionary programming

被引：0
|
作者：
Liu, Fang [1 ]
机构：
[1] Beijing Univ Technol, Sch Elect Informat & Control Engn, Beijing 100022, Peoples R China
来源：
PROCEEDINGS OF 2007 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2007年
关键词：
evolutionary programming; fuzzy neural network;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a approach for automatically generating fuzzy rules from sample patterns is presented. Firstly, with Cauchy mute operator and Gaussian mute operator, we propose a new evolutionary programming(EP) based on self-adaptive EP. Secondly, a self-adaptive fuzzy neural network is built based on the new evolutionary programming. In this method, structure identification and parameters estimation are performed automatically and simultaneously. The simulation results show that the proposed method in this paper can produce the compact and high performance fuzzy rule-base in comparison with other algorithms.
引用
收藏
页码：1200 / 1203
页数：4
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