The Study on Gauss Kernel Function in Support Vector Machine

被引：0

作者：

Wan Fuyong ^{[1
]}

Zhao Ying ^{[1
]}

机构：

[1] E China Normal Univ, Dept Math, Shanghai 200241, Peoples R China

来源：

2008 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-11 | 2008年

关键词：

Gauss Kernel Function; Support Vector Machine; Gauss kernel radius;

D O I：

10.1109/CCDC.2008.4597419

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The kernel function is the crucial ingredient of SVM. In a great of kernel functions, many researchers attach importance to Gauss kernel function because of its peculiar property and broad application. This paper mainly discusses the selection methods of Gauss kernel radius and punish-parameter C and suggests the rule of maximizing the ratio of within-class distance to between-class distance. Through emulator, we compare it with the known method and find this technique is effective.

引用

页码：779 / 784

页数：6