地球科学进展 ›› 2004, Vol. 19 ›› Issue (5): 860 -866. doi: 10.11867/j.issn.1001-8166.2004.05.0860

新学科·新技术·新发现 上一篇    下一篇

  1. 中国矿业大学资源与地球科学学院,江苏 徐州 221008
  • 收稿日期:2003-06-06 修回日期:2003-10-14 出版日期:2004-12-20
  • 通讯作者: 吴财芳(1976-),男,山东烟台人,博士后,主要从事瓦斯、煤层气地质与人工智能的研究. E-mail:E-mail:caifangwu@sina.com


WU Cai-fang, ZENG Yong, QIN Yong   

  1. Resource Engineering And Earth Science College, China University of Mining and Technology, Xuzhou 221008, China
  • Received:2003-06-06 Revised:2003-10-14 Online:2004-12-20 Published:2004-10-01


The research state of the gas-forecasting technologies and the new problems in the field of modern mining are explained. The advantage of neural networks in dealing with the complicated geological factors is introduced, and the possibility and necessity of combining the gas-forecasting technologies and the high, new techniques of artificial intelligence are discussed. The paper brings forward several new methods and gives examples to demonstrate their applicability in the process of forecasting coal and gas outburst. Past work proves that the forecasting models founded
 and based on  the gas-forecasting technology and artificial neural network can not only consider many affecting factors roundly and deal with all non-linear connections in geologic conditions preferably, but also have high precision and reliable conclusions, which offer new thought for the further developments of the gas-forecasting technologies.


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