文献类型：会议论文

英文题名：Neural network training using PSO algorithm in ATM traffic control

作者：Jing, Yuan-wei Ren, Tao Zhou, Yu-cheng

通信作者：Jing, YW[1]

机构：[1]Northeastern Univ, Shenyang 110004, Liaoning, Peoples R China;[2]Chinese Acad Forestry, Res Inst Wood Ind, Beijing 100091, Peoples R China

会议论文集：International Conference on Intelligent Computing (ICIC)

会议日期：AUG 16-19, 2006

会议地点：Kunming, PEOPLES R CHINA

语种：英文

年份：2006

摘要：In this paper, we address an end-to-end congestion control algorithm for available bit-rate traffic in high speed asynchronous transfer mode network. A neural network controller is proposed, because the precise characteristics of the switching system architecture are not known and some conditions such as time delay and network load change over time. The particle swarm optimization algorithm, which characterizes fast convergence and global minimum is introduced in neural network weights training. Simulation results show that the control system is adaptive, robust and effective, the quality of service is guaranteed.