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
Link To Document :
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