[1]何小燕,费翔,吴介一.高速网络中基于模糊神经网络的拥塞控制研究[J].东南大学学报(自然科学版),1999,29(5):21-25.[doi:10.3969/j.issn.1001-0505.1999.05.004]
 He Xiaoyan,Fei Xiang,Wu Jieyi.Fuzzy Neural Network Based Congestion Controlin High-Speed Networks[J].Journal of Southeast University (Natural Science Edition),1999,29(5):21-25.[doi:10.3969/j.issn.1001-0505.1999.05.004]
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高速网络中基于模糊神经网络的拥塞控制研究()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
29
期数:
1999年第5期
页码:
21-25
栏目:
计算机科学与工程
出版日期:
1999-09-20

文章信息/Info

Title:
Fuzzy Neural Network Based Congestion Controlin High-Speed Networks
作者:
何小燕1 费翔1 吴介一2
1 东南大学计算机科学与工程系, 南京 210096; 2 东南大学CIMS研究中心, 南京 210096
Author(s):
He Xiaoyan1 Fei Xiang1 Wu Jieyi2
1 Department of Computer Science and Engineering, Southeast University, Nanjing 210096
2 CIMS Research Center, Southeast University, Nanjing 210096
关键词:
拥塞控制 流量预测 模糊神经网络 ATM
Keywords:
congestion control traffic prediction fuzzy neural network ATM
分类号:
TP393
DOI:
10.3969/j.issn.1001-0505.1999.05.004
摘要:
拥塞控制是基于高速网络的多媒体通信研究中的主要难点之一. 以ATM为研究对象提出了一种基于模糊神经网络的流量预测方法.通过仿真比较、 分析了基于常规方法和模糊神经网络方法的性能, 证明所提出的方法有效.
Abstract:
Congestion control is one of the key problems in high-speed networks, such as ATM. In this paper, a kind of preventive congestion control scheme is proposed using fuzzy neural network approach. Simulations show the comparison among non-controlling scheme, reactive control scheme and neural network based control scheme. 

参考文献/References:

[1] Mars Fan P.Access flow control scheme for ATM networks using neural-network-based traffic prediction.IEEE Proc Comm,1997,144 (5):295~300
[2] Habib I,Tarraf A,Saadawi T.A neural network controller for congestion control in ATM multiplexers.Computer Networks and ISDN Systems,1997,29:325~334
[3] Moh W Melody,Chen Minjia,Chu Nuiming.Traffic prediction and dynamic bandwidth allocation over ATM:a neural network approach.Computer Communications,1995,18(8):563~571
[4] Habib I.Special feature topic on neuralcomputing in high speed networks.IEEE Communication Mag,1995,36:53~56
[5] 王伟.人工神经网络原理.北京:北京航空航天大学出版社,1995.52~74

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备注/Memo

备注/Memo:
基金项目: 江苏省自然科学基金资助项目(BK97003).
第一作者:女, 1970年生, 博士研究生.
更新日期/Last Update: 1999-09-20