• DocumentCode
    527243
  • Title

    The forecast method of gas gushing based on the grey BP neural network

  • Author

    Xiao, Liu ; Yuting, Rou

  • Author_Institution
    Sch. of Energy Sci. & Eng., Henan Polytech. Univ., Jiaozuo, China
  • Volume
    1
  • fYear
    2010
  • fDate
    17-18 July 2010
  • Firstpage
    406
  • Lastpage
    408
  • Abstract
    The gas gushing influenced by many factors and the trend is complex, it is difficult to establish the mathematical model to predict accurately. This study proposed based on grey dynamic model of artificial neural network, organic combination of intelligent analysis method, a grey neural network combination forecast model. This model can weaken effectively the grey forecast data sequences of the advantages and the volatility of the strong nonlinear neural network adaptive ability and make gas gushing forecast precision improved.
  • Keywords
    backpropagation; coal; grey systems; mining industry; neural nets; BP neural network; adaptive ability; forecast method; gas gushing; grey dynamic model; intelligent analysis method; mathematical model; forecasting; gas gushing; grey theory; model; neural network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environmental Science and Information Application Technology (ESIAT), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-7387-8
  • Type

    conf

  • DOI
    10.1109/ESIAT.2010.5568542
  • Filename
    5568542