Fuzzy neural modeling via clustering and support vector machines

被引：0

作者：

Tovar, Julio Cesar ^{[1
]}

Yu, Wen ^{[1
]}

机构：

[1] CINVESTAV, IPN, Dept Control Automat, Mexico City 07360, DF, Mexico

来源：

PROCEEDINGS OF THE 2007 IEEE CONFERENCE ON CONTROL APPLICATIONS, VOLS 1-3 | 2007年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper describes a novel fuzzy rule-based modeling approach for some industrial processes. Structure identification is realized by clustering and support vector machines. When the process is slow, fuzzy rules can be obtained automatically. Parameters identification uses the techniques of fuzzy neural networks. A time-varying learning rate assures stability of the modeling error.

引用

页码：723 / 728

页数：6

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