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基于最小二乘算法的模糊支持向量机控制器及其应用 the fuzzy support vector network controller based on least square algorithms and its application
第27 卷 第8 期 中 国 电 机 工 程 学 报 Vol.27 No.8 Mar. 2007
2007 年3 月 Proceedings of the CSEE ©2007 Chin.Soc.for Elec.Eng.
文章编号 0258-8013 (2007) 08-0076-05 中图分类号 TP273 TK223 文献标识码 A 学科分类号 470 20
⋅
基于最小二乘算法的模糊支持向量机
控制器及其应用
1 2
(1 200090
2 200090)
The Fuzzy Support Vector Network Controller Based on
Least Square Algorithms and Its Application
1 2
CHENG Qi-ming , WANG Yong-hao
(1. College of Power and Automation, Shanghai University of Electric Power, Yangpu District, Shanghai 200090, China;
2. College of Photoelectricity, Shanghai Science and Engineering University, Yangpu District, Shanghai 200090,China)
ABSTRACT: The fuzzy support vector controller based on least 0 引言
square algorithms was discussed. The controller integrated fuzzy
control and support vector machine together, and digested the 目前 人工神经网络(NN) 已经广泛应用到工业
advantages of both fuzzy control and support vector networks. It 过程建模和控制中 但是 NN 存在着一些缺陷
was independent of the controlled object model and had also 网络结构需要事先指定或应用启发式算法在训练
good general change ability. The controller parameters were 过程中修正 而这些启发式算法难以保证网络结构
optimized by the hybrid learning algorithm, i.e. in a first step,
的最优化 网络权值的调整方法存在局限性 如训
least square algorithm was used for off-line optimization to form
练
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