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

DOI

10.2991/isrme-15.2015.252How to use a DOI?

Keywords

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

Abstract

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.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Wei Cheng
AU  - Peng Feng
PY  - 2015/04
DA  - 2015/04
TI  - Network traffic prediction algorithm research based on PSO-BP neural network
BT  - Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering
PB  - Atlantis Press
SP  - 1239
EP  - 1243
SN  - 1951-6851
UR  - https://doi.org/10.2991/isrme-15.2015.252
DO  - 10.2991/isrme-15.2015.252
ID  - Cheng2015/04
ER  -