Fault Diagnosis of Computer Network Based On Rough Sets and BP Neural Network

被引：0
|
作者：
Shang, Zhixin [1 ]
Zhou, Yu [1 ]
Ye, Qingwei [1 ]
Wang, Xiaodong [1 ]
机构：
[1] Ningbo Univ, Coll Informat Sci & Engn, Ningbo 315211, Zhejiang, Peoples R China
来源：
2012 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING (WICOM) | 2012年
关键词：
Rough set; Network fault diagnosis; Knowledge base; Reduction Algorithm; BP neural network;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A new fault diagnosis model of computer network based on rough set and BP neural network is put forward in this paper. Many fault features of computer network are retrieved, then they are reduced to the minimum diagnosis rules by rough set. And the minimum diagnosis rules are trained by BP neural network. The simulation results indicate that the new fault diagnosis model has higher learning efficiency, faster speed of diagnosis and higher diagnosis accuracy. It can find the types and the locations of computer network faults quickly and accurately.
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页数：4
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