An Support Vector Regression Based Linear Programming

被引：0

作者：

Yu Jun ^{[1
]}

Mao Beixing ^{[1
]}

Meng Jintao ^{[1
]}

机构：

[1] Zhengzhou Inst Aeronaut Ind Management, Zhengzhou 450015, Peoples R China

来源：

2011 AASRI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INDUSTRY APPLICATION (AASRI-AIIA 2011), VOL 2 | 2011年

关键词：

Support Vector Regression; Linear Programming; measurement of omega mold;

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：

In this paper, a support vector machine regression based linear programming is presented. Classic support vector regression algorithm is a method that it translates regression problems to classification problems. But the two algorithms also have a disadvantage. Their objective functions also depend on the measurement of omega mold. Our algorithm dose not the disadvantage. Experimental on simulation data show that our algorithm is somewhat better.

引用

页码：133 / 135

页数：3