Optimal function approximation using fuzzy rules

被引：6
|
作者：
Lisin, D [1 ]
Gennert, MA [1 ]
机构：
[1] Worcester Polytech Inst, Dept Comp Sci, Worcester, MA 01609 USA
来源：
18TH INTERNATIONAL CONFERENCE OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY - NAFIPS | 1999年
关键词：
D O I：
10.1109/NAFIPS.1999.781679
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
It has been constructively proven by Kosko that fuzzy systems are universal approximators. However; the proof does not provide an algorithm to build a fuzzy system that approximates an analytically defined function to an arbitrary precision with a minimum number of fuzzy rules. In this paper we will describe a method that utilizes the information contained in the analytic definition of a function, such as its first and second derivatives, to build a fuzzy system that approximates it.
引用
收藏
页码：184 / 188
页数：5
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