Journal of Computer Science and Technology

, Volume 15, Issue 2, pp 144–149 | Cite as

Fuzzy neural network based traffic prediction and congestion control in high-speed networks

  • Fei Xiang 
  • He Xiaoyan 
  • Luo Junzhou 
  • Wu Jieyi 
  • Gu Guanqun 
Article

Abstract

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.

Keywords

congestion control neural network fuzzy neural network ATM 

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References

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Copyright information

© Science Press, Beijing China and Allerton Press Inc. 2000

Authors and Affiliations

  • Fei Xiang 
    • 1
  • He Xiaoyan 
    • 1
  • Luo Junzhou 
    • 1
  • Wu Jieyi 
    • 1
  • Gu Guanqun 
    • 1
  1. 1.Department of Computer Science and EngineeringSoutheast UniversityNanjingP.R. China

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