Application of neural network for traffic forecasting in telecom networks

被引：0
|
作者：
Zhao, GF [1 ]
Tang, H [1 ]
Xu, WB [1 ]
Zhang, YH [1 ]
机构：
[1] Chongqing Univ Posts & Telecommun, Chongqing 400065, Peoples R China
来源：
PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2004年
关键词：
neural network; multi-layer perceptron network; traffic forecasting; telecomm network;
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：
Telecommunication service provider must not only,maintain a good understanding of the present state of the network, but also be able to forecast the future as accurately and precisely as possible. In this paper, we focus on making traffic forecasting using neural network method. Two multi-layer perceptron neural network models are proposed respectively to make traffic prediction for two goals - one day's 24-hour load shape prediction at a time and peak-load prediction of a day. The data collected from the real world is applied for the performance tests and the results show that our two models are effective both.
引用
收藏
页码：2607 / 2611
页数：5
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