MULTI SUPPORT VECTOR MACHINES DECISION MODEL AND ITS APPLICATION

被引：2
|
作者：
阎威武
陈治纲
邵惠鹤
机构：
来源：
Journal of Shanghai Jiaotong University(Science) | 2002年 / 02期
关键词：
support vector machine; decision;
D O I：
暂无
中图分类号：
TP15 [自动模拟理论（自动仿真理论）];
学科分类号：
0711 ; 071102 ; 0811 ; 081101 ; 081103 ;
摘要：
Support Vector Machines(SVM) is a powerful machine learning method developed from statistical learning theory and is currently an active field in artificial intelligent technology. SVM is sensitive to noise vectors near hyperplane since it is determined only by few support vectors. In this paper, Multi SVM decision model(MSDM) was proposed. MSDM consists of multiple SVMs and makes decision by synthetic information based on multi SVMs. MSDM is applied to heart disease diagnoses based on UCI benchmark data set. MSDM somewhat inproves the robust of decision system.
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页码：220 / 222
页数：3
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