The Research of Least Square Support Vector Machine Model and Its Simplified Method

被引：0

作者：

Zhao Wen-jie ^{[1
]}

Zhang Tao ^{[1
]}

机构：

[1] North China Elect Power Univ, Dept Automat, Baoding 071003, Hebei, Peoples R China

来源：

INDUSTRIAL INSTRUMENTATION AND CONTROL SYSTEMS, PTS 1-4 | 2013年 / 241-244卷

关键词：

Least Square Support Vector Machine; modeling; complexity of model; simplify;

D O I：

10.4028/www.scientific.net/AMM.241-244.1719

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A simplified structure of the least square support vector machine (LS-SVM) model is proposed in this paper. Under the premise that the accuracy of LS-SVM model is unchanged, a small amount of training samples are chosen, which further fit this model by LS-SVM modeling. Finally, a typical nonlinear problem is taken as example to test the performance of this simplified model and the simulation results show that this simplified method proposed in this paper is effective.

引用

页码：1719 / 1723

页数：5

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