A Parameter Selection Method of Support Vector Machine Based on Improved FOA

被引：0
|
作者：
Shi Huishu [1 ]
Zhu Yi [1 ]
San Ye [1 ]
Wang Lei
机构：
[1] Harbin Inst Technol, Control & Simulat Ctr, Harbin, Heilongjiang, Peoples R China
来源：
PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON INFORMATION SCIENCES, MACHINERY, MATERIALS AND ENERGY (ICISMME 2015) | 2015年 / 126卷
关键词：
Parameter selection; Fruit Fly Optimization algorithm; Support vector machine; Uniform design;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Parameter selection is an important issue for support vector machine. To solve that problem, an improved fruit fly optimization algorithm is proposed in this paper, and used for parameter selection of support vector machine. The initial position and the iteration step size are improved in the new algorithm, and it has stronger search capability. Effectiveness and generality of the method are proved by experiment on standard data sets.
引用
收藏
页码：157 / 160
页数：4
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