Fault diagnosis based on neural network expert system for ATM network

被引：0

作者：

Yang, Yongjian ^{[1
]}

Pan, Yongiun ^{[1
]}

机构：

[1] Jilin Univ, Coll Comp Sci & Technol, Changchun 130012, Jilin, Peoples R China

来源：

DCABES 2007 Proceedings, Vols I and II | 2007年

关键词：

fault diagnosis; neural network; expert system; ATM network;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

With the characteristics of high speed, large information, and complex running parameters, the ATM network needs the support of intelligent management system to analyze network faults. It's proposed that we can use the ideas of neural network expert system to manage the faults of ATM network in this paper. We make use of BP neural network model whose performance is comparably stable in order to improve the convergence speed of fault diagnosis. On the other hand, we build up the expert system using production rule knowledge form which is widely popular, so that we can diagnose the ATM network faults intelligently and mange them effectively.

引用

页码：584 / 587

页数：4