Applying artificial neural networks for fault prediction in optical network links

被引：0
|
作者：
Gonçalves, CHR
Oliveira, M
Andrade, RMC
de Castro, MF
机构：
[1] Ctr Fed Educ Tecnol Ceara, Lab Mulitinst Redes Comp & Sist Distribuidos, BR-60531040 Fortaleza, Ceara, Brazil
[2] Univ Fed Ceara, Dept Comp, BR-60455760 Fortaleza, Ceara, Brazil
[3] Inst Natl Telecommun, F-91011 Evry, France
来源：
TELECOMMUNICATIONS AND NETWORKING - ICT 2004 | 2004年 / 3124卷
关键词：
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The IP+GMPLS over DWDM model has been considered a trend for the evolution of optical networks. However, a challenge that has been investigated in this model is how to achieve fast rerouting in case of DWDM failure. Artificial Neural Networks (ANNs) can be used to generate proactive intelligent agents, which are able to detect failure trends in optical network links early and to approximate optical link protection mode from 1:n to 1+1. The main goal of this paper is to present an environment called RENATA2 and its process on how to develop ANNs that can give to the intelligent agents a proactive behavior able to predict failure in optical links.
引用
收藏
页码：654 / 659
页数：6
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