DocumentCode
1976016
Title
Prediction of delay time in internet by neural network
Author
Ganjefar, S. ; Janabi-Sharifi, F. ; Hosseinipanah, S.M.A. ; Sharifi, R.
Author_Institution
Dept. of Electr. Eng., Bu Ali Sina Univ., Hamedan
fYear
2005
fDate
28-31 Aug. 2005
Firstpage
340
Lastpage
345
Abstract
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
Keywords
Internet; neural nets; prediction theory; telerobotics; Internet; communication channel; delay time; neural network; prediction; system instability; teleoperation systems; Communication channels; Delay effects; Educational institutions; IP networks; Intelligent networks; Internet; Neural networks; Nonlinear distortion; Sliding mode control; Time measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Applications, 2005. CCA 2005. Proceedings of 2005 IEEE Conference on
Conference_Location
Toronto, Ont.
Print_ISBN
0-7803-9354-6
Type
conf
DOI
10.1109/CCA.2005.1507148
Filename
1507148
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