Network traffic prediction algorithm research based on PSO-BP neural network

被引：0

作者：

Wei, Cheng ^{[1
]}

Peng, Feng ^{[1
]}

机构：

[1] Northeastern Univ, Software Coll, Informat Secur Inst, Shenyang, Peoples R China

来源：

PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS RESEARCH AND MECHATRONICS ENGINEERING | 2015年 / 121卷

关键词：

BP neural network; PSO algorithm; PSO-BP; network traffic prediction;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We Propose PSO-BP network traffic prediction algorithm which based on BP neural network and improved by the particle swarm optimization. Use PSO algorithm to optimize the initial weight and threshold values of BP network, and use history to train BP neural network and realize the simulation by MATLAB. The results show that, PSO-BP algorithm can improve network traffic prediction accuracy and speed up the convergence rate of BP network.

引用

页码：1239 / 1243

页数：5

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