Modeling of Nonlinear Network Traffic Prediction Based on Neural Network

被引：0
|
作者：
Cui, Licheng [1 ]
Zhang, Weishi [1 ]
Zhang, Runtong [1 ]
Zhai, Huawei [1 ]
Zhang, Xiuguo [1 ]
Xie, Xiong [1 ]
机构：
[1] Dalian Maritime Univ, Dept Informat Sci & Technol, Dalian 116026, Peoples R China
来源：
2011 INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND NEURAL COMPUTING (FSNC 2011), VOL I | 2011年
基金：
中国国家自然科学基金;
关键词：
network traffic; wavelet; neural network; traffic prediction model; load balancing;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Network traffic prediction is to use existing data samples to predict the further network traffic, it is the basis of load balancing and efficient network management. Based on wavelet and neural network, an efficient network traffic prediction model is established, through theoretical analysis, its topology and some main parameters are made sure, and also are further verified and modified after simulations. Through final simulation analysis and results, it shows that comparing with other prediction models, this model is non-linear, high accurate and flexible, and more suitable for application in real network.
引用
收藏
页码：25 / 28
页数：4
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