基于T-S模糊神经网络的ATM网络拥塞控制

Congestion control in ATM networks using T-S fuzzy neural network

本文充分考虑了模糊神经网络的学习功能,提出了利用T-S模糊神经网络算法对ATM网络进行拥塞控制的方案。仿真结果表明,该方法改善了网络对拥塞的实时处理能力,又增加了网络资源的利用率。

This paper concerns about the learning function of the fuzzy neural network. Based on T-S fuzzy neural network algorithm, a novel congestion control scheme for ATM networks is presented. The simulation results show that this method can improve the congestion processing capability in real time and raise the utilization of the network resources in the meanwhile.