• 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