A patten classification method based on GA and SVM

被引：0

作者：

Zhang, XR ^{[1
]}

Liu, F ^{[1
]}

机构：

[1] Xidian Univ, Sch Comp Sci & Technol, Xian 710071, Peoples R China

来源：

2002 6TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, VOLS I AND II | 2002年

关键词：

support vector machine; genetic algorithm; pattern classification;

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 for pattern classification on large-scale training data is presented in this paper, which. is based upon Genetic Algorithm (GA) and Support Vector Machine (SVM). The initial training data are optimized with GA in order to find a sample subset including the important samples that can preserve or improve the discrimination ability of SVM. Training on the, subset is equal to that on the initial sample sets. The training time is greatly shortened. Following the result, we. take advantages of the excellent.,.. classification performance of SVM to accomplish the pattern classification.

引用

页码：110 / 113

页数：4