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一种基于改进FCM划分算法的T-S模型辨识
引用本文:陈晔,农以宁.一种基于改进FCM划分算法的T-S模型辨识[J].桂林电子科技大学学报,2009,29(6):487-489.
作者姓名:陈晔  农以宁
作者单位:桂林电子科技大学,电子工程学院,广西,桂林,541004
摘    要:鉴于以往T-S模型建模过程中,在模糊划分上存在主观性的差异,提出了一种基于改进模糊C-均值算法的模糊划分方法,使划分结果尽可能地依赖于原始数据的分布情况,进而将该模糊划分算法用于多输入单输出非线性系统的基于T-S模型模糊辨识.在用该方法对多参量水质评价系统进行基于T-S模型模糊辨识建模时,取得了较好的验证效果.该研究结果表明,基于改进模糊C-均值划分算法的T-S模型辨识能在模糊综合评价与决策等应用领域中取得较好的应用效果.

关 键 词:模糊聚类  模糊辨识建模  T-S模型  模糊划分

A kind of identification for T-S model based on improved FCM partition algorithm
CHEN Ye,NONG Yi-ning.A kind of identification for T-S model based on improved FCM partition algorithm[J].Journal of Guilin Institute of Electronic Technology,2009,29(6):487-489.
Authors:CHEN Ye  NONG Yi-ning
Affiliation:CHEN Ye,NONG Yi-ning (School of Electronic Engineering,Guilin University of Electronic Technology,Guilin 541004,China)
Abstract:Because of the differentia of subjectivity in fuzzy partition in the process of previous modeling for T-S models,this paper put forward a kind of method for fuzzy partition based on the improved fuzzy C-mean partition algorithm,so as to make the result of partition as much as possible depend on the distributing of raw data.Then the fuzzy partition algorithm aforementioned is used to carry out the fuzzy identification modeling of the system with multi input and single output on the basis of T-S model.When th...
Keywords:fuzzy cluster  fuzzy identification modeling  T-S model  fuzzy partition  
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