Fuzzy CMAC neural network

被引：0
|
作者：
Deng, Zhidong
Sun, Zengqi
Zhang, Zaixing
机构：
来源：
Zidonghua Xuebao/Acta Automatica Sinica | 1995年 / 21卷 / 03期
关键词：
Fuzzy control - Fuzzy sets;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper a fuzzy CMAC neural network was proposed, which is composed of input layer, fuzzified layer, fuzzy association layer, and output layer. It has the similar single layer link weights to CMAC and updates the consequence parameters of Takagi's fuzzy reasoning through BP algorithms. The proposed fuzzy-neural structure was described and the supervised learning algorithm was derived. The simulation results of a function approximation problem show that the proposed scheme is superior to CMAC in many aspects.
引用
收藏
页码：288 / 294
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