现代电子技术2007，Vol.30Issue(1)：121-123,3.
Automatic Parameters Selection for SVM Based on PSO
Automatic Parameters Selection for SVM Based on PSO
ZHANG Mingfeng 1ZHU Yinghua 2ZHENG Xu 1LIU Yu2
作者信息
- 1. School of Science,Anshan University of Science and Technology,Anshan,1140001,China
- 2. The Iron and Steel Corp.of Anshan,Anshan,1140001,China
- 折叠
摘要
Abstract
Motivated by the fact that automatic parameters selection for Support Vector Machine (SVM) is an important issue to make SVM practically useful and the common used Leave-One-Out (LOO) method is complex calculation and time consuming,an effective strategy for automatic parameters selection for SVM is proposed by using the Particle Swarm Optimization (PSO) in this paper.Simulation results of practice data model demonstrate the effectiveness and high efficiency of the proposed approach.关键词
index terms-support vector machine/parameters selection/Particle Swarm Optimization (PSO)Key words
index terms-support vector machine/parameters selection/Particle Swarm Optimization (PSO)分类
信息技术与安全科学引用本文复制引用
ZHANG Mingfeng,ZHU Yinghua,ZHENG Xu,LIU Yu..Automatic Parameters Selection for SVM Based on PSO[J].现代电子技术,2007,30(1):121-123,3.
