Network Traffic Prediction based on Neural Network

被引：9
|
作者：
Feng, Gao [1 ]
机构：
[1] Chongqing Univ Arts & Sci, Coll Software Engn, Chongqing 402160, Peoples R China
来源：
2015 INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION, BIG DATA AND SMART CITY (ICITBS) | 2016年
关键词：
network traffic prediction; neural network; wavelet transformation;
D O I：
10.1109/ICITBS.2015.136
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Predicting and modeling network traffic is always an important subject in network capability studying. The aim of this article is to explore a new network model in order to describe and predict the network character accurately. Firstly wavelet neural network is investigated and its disadvantages are analyzed. In order to overcome disadvantages of wavelet neural network, genetic algorithm is used to optimize weight and threshold of neural network. At last, the proposed algorithm is used in network traffic prediction and the results show the proposed scheme has good performance.
引用
收藏
页码：527 / 530
页数：4
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