Improved Model for traffic fluctuation prediction by Neural network

被引：0

作者：

Ardhan, S. ^{[1
]}

Satsri, S. ^{[1
]}

Chutchavong, V. ^{[1
]}

Sangaroon, O. ^{[1
]}

机构：

[1] King Mongkuts Inst Technol Ladkrabang, ReCCIT, Fac Engn, Dept Informat Engn, Bangkok 10520, Thailand

来源：

2007 INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS, VOLS 1-6 | 2007年

关键词：

telephone traffic prediction; neural network;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The traffic prediction are mainly used to improve the performance of telecommunication network management. This paper improved model for telephone traffic prediction in Thailand by using artificial neural network (ANN) with back propagation learning algorithms. By applied data which is collected at different node in main routes of TOT, Thailand telephone network for learning process and testing. The neural network structure and input/output musters are descried in detail. We present the comparatively results of simulation with another methods, the results shows traffic fluctuation prediction by the method of ANN is accurately.

引用

页码：1875 / +

页数：3