高速网络中基于模糊神经网络的拥塞控制研究

Fuzzy Neural Network Based Congestion Controlin High Speed Networks

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 Ａ Ｔ Ｍ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．

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.