摘要： 针对计算机高速互联网中发送端速率调节的问题,在一般网络模型基础上,将BP(BackPropagation)神经网络运用到计算机网络的拥塞控制中,提出了一种基于BP神经网络的动态资源管理机制以解决网络的拥塞问题。对所提出的拥塞控制方案,进行了仿真分析,仿真结果显示,控制方案有较好的可扩展性、有效性,并使网络性能表现良好。

关键词: BP神经网络, 缓冲占有量, 拥塞控制, 预测控制

Abstract: With regard to the flow regulation of the source rate in high-speed computer communication network, the neural network is used to congestion control of the computer network and a novel dynamic resource management scheme based on BP (back propagation) neural network is proposed to solve the congestion of network. To validate the proposed algorithm, it has fulfilled a variety of simulations under various traffic conditions and network environment. The results of simulation demonstrate the proposed control scheme is scalable and efficient, and has good network performance.

中图分类号: 

• TP183