Parameters Optimization of Support Vector Machine Based on Simulated Annealing and Improved QPSO

被引：4
|
作者：
Li Wanling [1 ]
Wang Zhensheng [1 ]
Song Xiangjun [1 ]
机构：
[1] Ordnance Technol Res Inst, Shijiazhuang, Peoples R China
来源：
2012 INTERNATIONAL CONFERENCE ON INDUSTRIAL CONTROL AND ELECTRONICS ENGINEERING (ICICEE) | 2012年
关键词：
Parameters Optimization; SVM; Simulated Annealing; Improved QPSO;
D O I：
10.1109/ICICEE.2012.288
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
To complete the parameters optimization of Support Vector Machine, the QPSO algorithm is improved, the method based on simulated Annealing and Improved QPSO is put forward, and UCI simulation is used to improve the classify precision of the Support Vector Machine.
引用
收藏
页码：1089 / 1091
页数：3
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