Fuzzy Neural Network Based Traffic Prediction and Congestion Control in High-Speed Networks

被引：0
|
作者：
费翔
何小燕
罗军舟
吴介一
顾冠群
机构：
来源：
Journal of Computer Science and Technology | 2000年 / 02期
关键词：
congestion control; neural network; fuzzy neural network; ATM;
D O I：
暂无
中图分类号：
TP183 [人工神经网络与计算];
学科分类号：
摘要：
Congestion control is one of the key problems in high-speed networks, such as ATM. In this paper, a kind of traffic prediction and preventive congestion control scheme is proposed using neural network approach. Traditional predictor using BP neural network has suffered from long convergence time and dissatisfying error. Fuzzy neural network developed in this paper can solve these problems satisfactorily. Simulations show the comparison among no-feedback control scheme, reactive control scheme and neural network based control scheme.
引用
收藏
页码：144 / 149
页数：6
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