• DocumentCode
    2217224
  • Title

    Wireless communication reliability prediction based on Support Vector Regression

  • Author

    Qun, Pan ; Lin, Wang ; Yan-bin, Zhuang

  • Author_Institution
    Chang Zhou Inst. of Technol., Changzhou, China
  • Volume
    4
  • fYear
    2010
  • fDate
    20-22 Aug. 2010
  • Abstract
    The Support Vector Regression method have complete statistical learning theory basis and excellent performance on small samples. Based on the introduction of support vector regression method, the paper introduced Support Vector Machine (SVM) into wireless communication network reliability prediction. Using support vector regression method, the reliability prediction model of wireless communication network was established. Verification of actual data and comparison with BP neural network method shows that the model has feasibility and superiority in the reliability prediction of wireless communication network.
  • Keywords
    radiocommunication; regression analysis; support vector machines; telecommunication computing; telecommunication network reliability; statistical learning theory; support vector machine; support vector regression; wireless communication network reliability prediction; Artificial neural networks; Integrated circuits; Reliability; reliability prediction; support vector machine; wireless communication network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
  • Conference_Location
    Chengdu
  • ISSN
    2154-7491
  • Print_ISBN
    978-1-4244-6539-2
  • Type

    conf

  • DOI
    10.1109/ICACTE.2010.5579094
  • Filename
    5579094