Network Fault Diagnosis Based on Rough Set-Support Vector Machine

摘要：

At present, the technique of network fault diagnosis has been a very hot research domain. The scholars from both domestic and abroad have put forward many diagnosis approaches, but many of which have some disadvantages in dealing with uncertain problems. This paper proposes a rough set-support vector machine algorithm after studying the rough set and the support vector machine theories. In order to reduce the dimensions of the classification space, the algorithm first diminishes the attributes of the faults by means of the rough set theory (RST), thus improves the effect of the classification of the support vector machine (SVM).

关键词： network fault diagnosis rough set theory support vector machine

作者: Guo Jiangwei Wu Xiaoping Ye Qing

作者单位: Depart, of Information Security Naval University of Engineering Wuhan, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 312-315

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）