Applying fuzzy adaptive network to fuzzy regression analysis

被引：40
|
作者：
Cheng, CB [1 ]
Lee, ES [1 ]
机构：
[1] Kansas State Univ, Dept Ind & Mfg Syst Engn, Manhattan, KS 66506 USA
来源：
COMPUTERS & MATHEMATICS WITH APPLICATIONS | 1999年 / 38卷 / 02期
关键词：
fuzzy regression; fuzzy adaptive network; fuzzy inference system; learning rules;
D O I：
10.1016/S0898-1221(99)00187-X
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
A fuzzy inference system based on the Sugeno inference model is first formulated for fuzzy regression analysis. This system is then represented by a fuzzy adaptive network. This approach combines the power of representation of fuzzy inference system with the ability of learning of the neural network. Numerical examples are trained and solved to illustrate the approach. The results are compared with other approaches. (C) 1999 Elsevier Science Ltd.
引用
收藏
页码：123 / 140
页数：18
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