• DocumentCode
    3354315
  • Title

    Prediction and research of coal and gas outburst based on radial basis function neural networks

  • Author

    Hong-Feng, Ma ; Jian-Wu, Dang ; Xin, Wang

  • Author_Institution
    Dept. of Electron. & Inf. Eng., LAN Zhou Jioatong Univ., Lan Zhou, China
  • fYear
    2010
  • fDate
    26-28 June 2010
  • Firstpage
    3916
  • Lastpage
    3919
  • Abstract
    It is of great theoretical and practical significance of the coal and gas outburst prediction. Through the study of the original samples and the example analysis of the Predictable samples, coal and gas outburst prediction based on artificial neural network model is studied. According to the characteristics of coal and gas outburst and coal and gas outburst data indicators, a coal and gas outburst prediction of the radial basis function neural network model is established. Experiments show that the use of radial basis function neural network model can overcome the shortcomings of instability and inaccurate in the coal and gas outburst prediction, so it has more extensive application value.
  • Keywords
    coal; natural gas technology; radial basis function networks; artificial neural network; coal outburst prediction; gas outburst prediction; outburst data indicators; predictable samples; radial basis function neural networks; Artificial neural networks; Educational institutions; Electronic mail; Information science; Local area networks; Neural networks; Predictive models; Radial basis function networks; RBF neural network; coal and gas outburst; prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-7737-1
  • Type

    conf

  • DOI
    10.1109/MACE.2010.5535948
  • Filename
    5535948