Traffic prediction in mobile networks using neural network applications.

被引：0
|
作者：
Rutka, G [1 ]
机构：
[1] Riga Tech Univ, Elect & Telecommun Inst, LV-1048 Riga, Latvia
来源：
BEC 2004: Proceeding of the 9th Biennial Baltic Electronics Conference | 2004年
关键词：
traffic prediction; neural networks; telecommunication networks;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper presents a short view of algorithms used for data (traffic) prediction using neural network applications. Our experiments inspect regression ration and performance of multilayer perceptrons, radial basis function networks and linear networks as the statistical data (real and simulated) of our experiments have linear, hyperbolic and exponential character. The obtained results of our algorithms provide reliable prediction of possible traffic demand considering amount of users.
引用
收藏
页码：303 / 306
页数：4
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