A Multiple Model Approach to Modeling Based on Fuzzy Support Vector Machines

被引：3

作者：

冯瑞

张艳珠

宋春林

邵惠鹤

机构：

[1] Shenyang 110003

[2] Shenyang Inst. of Technology

[3] Dept. of Information Eng.

[4] Northeastern Univ.

[5] Dept. of Automation

[6] China

[7] Shanghai 200030

[8] Shanghai Jiaotong Univ.

[9] Shenyang 110015

[10] School of Information and Eng.

来源：

JournalofShanghaiJiaotongUniversity | 2003年 / 02期

关键词：

fuzzy support vector machines(FSVMs); fuzzy support vector classifier(FSVC); fuzzy support vector regression(FSVR); multiple model; modeling;

D O I：

暂无

中图分类号：

TP13 [自动控制理论];

学科分类号：

0711 ; 071102 ; 0811 ; 081101 ; 081103 ;

摘要：

A new multiple models(MM) approach was proposed to model complex industrial process by using Fuzzy Support Vector Machines(F -SVMs). By applying the proposed approach to a pH neutralization titration experiment, F -SVMs MM not only provides satisfactory approximation and generalization property, but also achieves superior performance to USOCPN multiple modeling method and single modeling method based on standard SVMs.

引用

页码：137 / 141

页数：5