A hybrid design method of fuzzy systems

被引：0
|
作者：
Li, Y [1 ]
Zhao, RC [1 ]
Zhang, YNN [1 ]
机构：
[1] Northwestern Polytech Univ, Sch Comp, Xian 710072, Peoples R China
来源：
2004 7TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, VOLS 1-3 | 2004年
关键词：
fuzzy systems design; fuzzy rule base; neurofuzzy networks;
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 hybrid approach for designing fuzzy rule-based systems based on clustering and a class of fuzzy neural networks is introduced. Firstly, in unsupervised clustering technique is used to determine the number of fuzzy rules and generate an initial fuzzy rule base from the given input-output data. Secondly, a class of fuzzy neural networks is constructed and its weights are tuned to make the parameters of the constructed fuzzy rule base more precise. Finally, we focus on function approximation problems as a vehicle to evaluate its performance.
引用
收藏
页码：1618 / 1621
页数：4
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