Prediction of delay time in internet by neural network

被引：0

作者：

Ganjefar, S ^{[1
]}

Janabi-Sharifi, F ^{[1
]}

Hosseinipanah, SMA ^{[1
]}

Sharifi, R ^{[1
]}

机构：

[1] Bu Ali Sina Univ, Dept Elect Engn, Hamadan, Iran

来源：

2005 IEEE INTERNATIONAL CONFERENCE ON CONTROL APPLICATIONS (CCA), VOLS 1AND 2 | 2005年

关键词：

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：

In teleoperation systems, delay time in communication channel may distort the signals, and can lead to system instability. By prediction of delay time in the Internet, we can use new structures for creating high performance systems in teleoperation systems. This paper describes a neural network-based method for prediction of delay time in the Internet. By using measured data (delay time between four universities), the neural network was trained. Then, using validation data, the performance of the neural network was evaluated. It is shown that this neural network can predict delay time based on their proper inputs.

引用

页码：340 / 345

页数：6

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