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  • 标题:Prediction Strategy of Coal and Gas Outburst Based on Artificial Neural Network
  • 本地全文:下载
  • 作者:Wang, Fuzhong ; Liu, Weizhe
  • 期刊名称:Journal of Computers
  • 印刷版ISSN:1796-203X
  • 出版年度:2013
  • 卷号:8
  • 期号:1
  • 页码:240-247
  • DOI:10.4304/jcp.8.1.240-247
  • 语种:English
  • 出版社:Academy Publisher
  • 摘要:The article describes the research of coal and gas outburst prediction technology and the new problems they face in the modern mining. It also describes the superiority of neural network technology in dealing with complex geological conditions. It refers to the possibility and necessity of combination of the coal and gas outburst prediction and artificial neural networks, and other high-technology, There are examples show that they can be applied to predict the course of coal and gas outburst and gas content .Practice has proved the prediction model that coal and gas outburst forecasting techniques and artificial neural network have established not only considers the various factors and better handle various kinds of the non-linear relationships in geological conditions ,but also having a forecast of high precision and reliable conclusions and provides a new way about the further development of coal and gas outburst prediction technology.
  • 关键词:artificial neural network;coal and gas outburst prediction;gas content
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