Network traffic prediction algorithm research based on PSO-BP neural network
Authors
Wei Cheng, Peng Feng
Corresponding Author
Wei Cheng
Available Online April 2015.
- 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/).
Cite this article
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 -