On generating fuzzy rules by an evolutionary approach

被引：7
|
作者：
Rutkowska, D [1 ]
机构：
[1] Czestochowa Tech Univ, Dept Comp Engn, PL-42200 Czestochowa, Poland
来源：
CYBERNETICS AND SYSTEMS | 1998年 / 29卷 / 04期
关键词：
D O I：
10.1080/019697298125669
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper shows how knowledge, in the form of fuzzy rules, can be extracted from a fuzzy neural network. A genetic algorithm is applied to find near-optimal fuzzy rules and learn the shapes of membership functions. Moreover, the gradient descent procedures are given for final tuning of membership functions.
引用
收藏
页码：391 / 407
页数：17
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