Application Research on Genetic Algorithm in Anomaly Detection

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.

关键词： support vector machines genetic algorithm anomaly detection

作者: Xiang CHENG Guo-Geng HUANG Yan-Hong WANG

作者单位: Information engineering Institute, Jingdezhen Ceramic Institute, Jindezhen,China Chinese Aeronautical Radio Electronics Research Institute

会议类型: 国际会议

会议名称: The Third International Conference on Modelling and Simulation(第三届国际建模、计算、仿真、优化及其应用学术会议 ICMS 2010)

会议地点: 无锡

会议语种:英文

页码: 132-135

在线出版日期: 2010-06-04（万方平台首次上网日期，不代表论文的发表时间）