Application Research on Genetic Algorithm in Anomaly Detection

被引：0
|
作者：
Cheng, Xiang [1 ]
Huang, Guo-Geng
Wang, Yan-Hong [1 ]
机构：
[1] Jingdezhen Ceram Inst, Inst Informat Engn, Jindezhen, Peoples R China
来源：
ICMS2010: PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON MODELLING AND SIMULATION ICMS2010, VOL 3: MODELLING AND SIMULATION IN INDUSTRIAL APPLICATION | 2010年
关键词：
support vector machines; genetic algorithm; anomaly detection;
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：
In this paper, we present a genetic algorithm and a SVM (support vector machines) classification method applied to the anomaly detection problems, which optimizes the kernel parameters for SVM. Application of the method yields a major improvement of detection accuracy.
引用
收藏
页码：132 / 135
页数：4
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