Neural network predication for network routing

被引：0

作者：

Dong Jun ^{[1
]}

Song Ruixiang ^{[1
]}

机构：

[1] East China Normal Univ, Inst Software Engn, 3663 Zhongshan North Rd, Shanghai 200062, Peoples R China

来源：

PROCEEDINGS OF THE IASTED INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTER SCIENCE AND TECHNOLOGY | 2006年

关键词：

routing; network survivability; predication; neural network; load;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Routing is key issue for survivable network. Intelligent routing schemes have been investigated widely with fuzzy logic, genetic algorithms and neural networks, among which, agent-based approaches are paid more attentions recently. On the basis of demerit-analysis of routing being used, a new intelligent routing strategy based on multi-agent systems and neural network predication is presented. After overview on related works, the paper describes recurrent neural network that is used to predicate network load. The results show the new approach is better by virtue of its upstanding predication capabilities. 505-800 in display pdf

引用

页码：245 / +

页数：2

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