Research on Hierarchical Genetic Algorithm Optimized Based on Fuzzy Neural Network

被引：0
|
作者：
Hao, Yuan [1 ]
Ren, Zhaohui [1 ]
Wang, Bingcheng [2 ]
机构：
[1] Northeastern Univ, Sch Mech Engn & Automat, Shenyang 110004, Liaoning Provin, Peoples R China
[2] Shenzhen Univ, Sch Mech Engn, Shenzhen 518040, Guangdong, Peoples R China
来源：
2010 THE 3RD INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND INDUSTRIAL APPLICATION (PACIIA2010), VOL II | 2010年
基金：
中国国家自然科学基金;
关键词：
Fuzzy neural network; Hierarchical genetic algorithm; Evolutionary programming;
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：
A new algorithm of fuzzy neural network learning is presented. It is based on combining genetic algorithm of hierarchical structure with evolution programming. This algorithm is used to optimize the structure and parameters of fuzzy neural network, reject redundant nodes and redundancy connections, and improve the treatment ability of the network. The results of analysis and experiment show that, by using this method the fuzzy neural network of mechanical fault diagnosis has good concise structure and diagnosis effect.
引用
收藏
页码：342 / 345
页数：4
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