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

摘要

Congestion control is one of the key problems in high-speed net- works, such as ATM. In this paper, a kind of traffic prediction and preventive conges- tion 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 sat- isfactorily. Simulations show the comparison among no-feedback control scheme, reactive control scheme and neural network based control scheme.