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基于小波神经网络的网络流量预测研究

李欣 孙珊珊

现代电子技术2016,Vol.39Issue(23):98-99,103,3.
现代电子技术2016,Vol.39Issue(23):98-99,103,3.DOI:10.16652/j.issn.1004-373x.2016.23.024

基于小波神经网络的网络流量预测研究

Research on network traffic prediction based on wavelet neural network

李欣 1孙珊珊1

作者信息

  • 1. 绥化学院 信息工程学院,黑龙江 绥化 152000
  • 折叠

摘要

Abstract

The relevant theory and method of wavelet neural network are used to establish and predict the network traffic situation of a certain uptown. The acquired network traffic change situation is used as the training sample of the wavelet network to realize the traffic prediction of the network. The simulation results show that the constructed wavelet neural network model has high precision to predict the network traffic.

关键词

小波神经网络/网络流量/预测研究/训练样本

Key words

wavelet neural network/network traffic/prediction research/training sample

分类

信息技术与安全科学

引用本文复制引用

李欣,孙珊珊..基于小波神经网络的网络流量预测研究[J].现代电子技术,2016,39(23):98-99,103,3.

现代电子技术

OA北大核心CSTPCD

1004-373X

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