A Three-Stage Combined Network Traffic Prediction Model

被引:0
|
作者
Li, Dandan [1 ]
Xue, Wanxin [1 ]
机构
[1] Beijing Union Univ, Coll Management, Beijing 100101, Peoples R China
来源
LISS 2014 | 2015年
关键词
Neural network; Traffic prediction; Wavelet;
D O I
10.1007/978-3-662-43871-8_73
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
With the development of the network technology and the increasing demands on communication, we need more complex, heterogeneous, and suitable network models. So, this paper proposes a novel model, which includes three stages. The proposed model can avoid the problem of slow convergence speed and an easy trap in local optimum when coming up with a fluctuated network flow. Thus, the network traffic prediction with high-precision in cognitive networks is achieved.
引用
收藏
页码:501 / 509
页数:9
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