%0 Journal Article
%T Learning of Fuzzy Rules and its Application to Nonlinear Systems Modeling<br>模糊规则的学习及其在非线性系统建模中的应用
%A Chen Jianqiu
%A Xi Yugeng
%A Zhang Zhongjun
%A <br>陈建勤
%A 席裕庚
%A 张钟俊
%J 自动化学报
%D 1997
%I 
%X This paper discusses fuzzy inference systems and their application to nonlinear system modeling. The paper presents a new algorithm for learning fuzzy rules. The algorithm first partitions input data into some clusters by competitive learning, then determines the decision margins for each input cluster, and finally, learns the fuzzy rules for each input local region. The paper proposes and adaptive fuzzy inference method for the fuzzy rules. Examples are provided to demonstrate the presented learning algorithm and the computing results show that the method of the paper is superior to those in the reference.
%K Fuzzy systems
%K competitive learning
%K nonlinear system modeling
%K neural networks<br>模糊系统
%K 竞争学习
%K 非线性系统
%K 建模
%K 神经网络
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=1EB0721571DC7735D27F6896505E8198&yid=5370399DC954B911&vid=EA389574707BDED3&iid=E158A972A605785F&sid=FF58680609C9D068&eid=FD207D3C5E9776FA&journal_id=0254-4156&journal_name=自动化学报&referenced_num=11&reference_num=4