• DocumentCode
    615369
  • Title

    Lifetime prediction of communication wire based on neural network

  • Author

    Junhuan Zhou ; Jingling Yuan ; Haizheng Tao ; Hui Huang ; Wu Qiu

  • Author_Institution
    Wuhan Univ. of Technol., Wuhan, China
  • fYear
    2013
  • fDate
    26-28 April 2013
  • Firstpage
    769
  • Lastpage
    772
  • Abstract
    In order to reduce the huge loss caused by the aging problem of communication wire and keep the quality in a high level,this paper uses RBF neural network and BP neural network to predict the lifetime of communication wire.For illustration, an example is utilized to show the accuracy of two neural network methods in the lifetime prediction of communication wire.Empirical results shows that RBF neural network method is more feasible for analyzing the relationship between the lifetime of communication wire and the factors than BP neural network method,and can predict the lifetime more accurately.
  • Keywords
    ageing; backpropagation; life testing; radial basis function networks; telecommunication cables; telecommunication network reliability; wires (electric); BP neural network; RBF neural network; communication wire aging problem; communication wire lifetime prediction; huge loss reduction; neural network methods; Computer architecture; Neural networks; Communication Wire; Lifetime Prediction; Neural Network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Education (ICCSE), 2013 8th International Conference on
  • Conference_Location
    Colombo
  • Print_ISBN
    978-1-4673-4464-7
  • Type

    conf

  • DOI
    10.1109/ICCSE.2013.6554012
  • Filename
    6554012