%0 Journal Article
%T Research on Modeling with Adaptive Neuro-Fuzzy Inference System<br>自适应神经模糊推理系统建模研究
%A LU Bin HE Hua-Can
%A <br>鲁斌
%A 何华灿
%J 计算机科学
%D 2003
%I 
%X With rapid development of the fuzzy control application field, the existing system for fuzzy inferring modeling cannot more and more suit the requirements of fuzzy control. About how to apply the theories of fuzzy control to practice rapidly and conveniently, this paper presents a reasonable and practical method, which supports all sorts of fuzzy inferring system of MAMDANI and SUGENO to be modeled not only by tuning references of membership functions, but also by tuning fuzzy inferring structure. The modeling instance shows that it's practical and effective.
%K Universal logics
%K Fuzzy control
%K Modeling<br>模糊控制
%K 模糊控制器
%K 自适应神经模糊推理系统
%K 建模
%K 神经网络
%K 隶属函数
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=BED57A7B6CF70D55&yid=D43C4A19B2EE3C0A&vid=340AC2BF8E7AB4FD&iid=F3090AE9B60B7ED1&sid=1371F55DA51B6E64&eid=1AE5323881A5ECDC&journal_id=1002-137X&journal_name=计算机科学&referenced_num=2&reference_num=5