%0 Journal Article
%T A Fuzzy CMAC Neural Network<br>一种模糊CMAC神经网络
%A Deng Zhidong
%A Sun Zengqi
%A Zhang Zaixing
%A <br>邓志东
%A 孙增圻
%A 张再兴
%J 自动化学报
%D 1995
%I 
%X In this paper a fuzzy CMAC neural network is proposed, which is composed of input layer. fuzzified layer, fuzzy association layer, and output laver. It has the similiar single layer link weights to GMAC and updates the consequence parameters of Takagi's fuzzy reasoning through BP algorithms. foe proposed fuzzy-neural structure is described and the supervised learning algorithm is derived. The simulation results with a function approximation problem problem are shown that the proposed scheme is superior to CMAC in many aspects.
%K Neural network
%K fuzzy logic
%K CMAC
%K function approximation<br>神经网络
%K 模糊逻辑
%K 函数逼近
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=A460A15D6D67B4BCF9494C44F7E762DE&yid=BBCD5003575B2B5F&vid=659D3B06EBF534A7&iid=38B194292C032A66&sid=334C61CAF4C8EF4E&eid=E39A3F4E3A67639B&journal_id=0254-4156&journal_name=自动化学报&referenced_num=40&reference_num=7