The identification of industrial processes based on SVM

被引：0

作者：

Li, LN ^{[1
]}

Hou, CZ ^{[1
]}

机构：

[1] Beijing Inst Technol, Dept Automat Control, Beijing 100081, Peoples R China

来源：

2002 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-4, PROCEEDINGS | 2002年

关键词：

SVM; regression; identification; CSTR; neural network;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Support Vector Machine (SVM) is a kind of novel machine learning method, which has become the hotspot of machine learning because of its excellent learning capability. SVM also provides a new way for industrial processes identification. Industrial processes generally are time varying, nonlinear and it is difficult to model with traditional methods. In this paper, SVM is used to the identification of continuous stirred tank reactor (CSTR). The simulation results show the effectivity and superiority of SVM.

引用

页码：520 / 523

页数：4

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