A Kind of Fault Diagnosis Research Based on Improved SOM-BP Composite Neural Network

被引：0
|
作者：
Wu Kehe [1 ]
Huang Zhengguan [1 ]
Wang Zhao [1 ]
Hu Xin [1 ]
机构：
[1] North China Elect Power Univ, Sch Control & Comp Engn, Beijing, Peoples R China
来源：
2014 5TH IEEE INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING AND SERVICE SCIENCE (ICSESS) | 2014年
关键词：
self-organizing; composite neural network; fault diagnosis;
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
As computer networks continue to grow in size and complexity, fault management in today's high speed telecommunications networks is becoming even more difficult. In this paper some existing approach for network fault diagnosis are firstly discussed. It concentrates on analyzing the alarm propagation in the Wide Area Network and a model of fault diagnosis is then proposed. Due to the complex nonlinear relation between breakdown mode and characteristic parameters of computer network, the SOM-BP composite neural network is used. The performance analysis carried out shows SOM to be a fast and efficient method for fault diagnosis in WAN.
引用
收藏
页码：465 / 467
页数：3
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