Automatic generating fuzzy rules with a particle swarm optimization

被引：0
|
作者：
Ma, M [1 ]
Zhou, CG [1 ]
Zhang, LB [1 ]
Dou, QS [1 ]
机构：
[1] Jilin Univ, Coll Comp Sci & Technol, Changchun 130012, Peoples R China
来源：
PROCEEDINGS OF 2005 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-9 | 2005年
关键词：
particle swarm optimization; fuzzy neural network; pruning algorithm;
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：
We have proposed a pruning algorithm to obtain the desirable fuzzy rules based on particle swarm optimization. Compared the standard particle swarm optimization, in the proposed algorithm we adopted a binary value vector and a real values vector to represent a solution, and used the different equation to update the different parameters. Numerical simulations show the effectiveness of the proposed algorithm.
引用
收藏
页码：5695 / 5698
页数：4
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