Research on Modeling Method Based on Least Squares Support Vector Machine

被引：0

作者：

Xu, Jun ^{[1
]}

Du, Kang ^{[1
]}

Zhang, Yaohui

Zhu, Xiaobing ^{[1
]}

机构：

[1] Acad Armored Force Engn, Dept Control Engn, Beijing 100072, Peoples R China

来源：

PROCEEDINGS OF THE 2013 INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER SCIENCE AND ELECTRONICS INFORMATION (ICACSEI 2013) | 2013年 / 41卷

关键词：

Particle swarm optimization algorithm; Support vector machine; Gas sensor; Mathematical modeling;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A method of support vector machine based on particle swarm optimization was proposed for the question of parameter selecting difficult of least square support vector machine in modeling of gas sensor. Least square support vector machine is used to build the model of gas sensor. Particle swarm optimization arithmetic was introduced to optimize the parameters of support vector machine. The sensor model is tested with the data measured reality. The results prove the accuracy of the model.

引用

页码：665 / 667

页数：3

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