Design neural networks based fuzzy logic

被引：28
|
作者：
Yang, YP [1 ]
Xu, XM [1 ]
Zhang, WY [1 ]
机构：
[1] Shanghai Jiao Tong Univ, Dept Automat, Shanghai 200030, Peoples R China
来源：
FUZZY SETS AND SYSTEMS | 2000年 / 114卷 / 02期
关键词：
fuzzy neural networks; genetic algorithm;
D O I：
10.1016/S0165-0114(98)00098-0
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The integration of fuzzy logic and neural networks has given birth to an emerging technology field, fuzzy neural networks. The fuzzy neural networks have the potential to capture the benefits of the two fascinating fields into a single capsule. In this paper three approaches of implementing and constructing the fuzzy neural networks, neural networks based fuzzy logic, have been discussed and an improved genetic algorithm, which is a special neural networks learning algorithm, is proposed. (C) 2000 Elsevier Science B.V. All rights reserved.
引用
收藏
页码：325 / 328
页数：4
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