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人工神经网络在煤层宏观结构解释中的应用

崔若飞 王磊   

  1. 中国矿业大学
  • 收稿日期:1997-09-20 修回日期:1997-09-20 出版日期:1997-09-20 发布日期:1997-09-20

APPLICATION OF ARTIFICIAL NEURAL NETWORK TO MACROSTRUCTURE INTERPRETATION OF COAL BEDS

Cui Ruo-fei, Wang Lei   

  1. China University of Mining and Technology, Xuzhou 221008
  • Received:1997-09-20 Revised:1997-09-20 Online:1997-09-20 Published:1997-09-20

摘要: 煤层中的宏观结构变化是我国众多煤田中普遍存在的地质现象,它对煤矿生产影响极大,是当前煤矿生产中急需解决的地质构造问题,利用工人神经网络可以解释煤层的分叉,合并及缺失等宏观结构问题,为矿井的采,掘工作的提供准确的地质资料。

Abstract: Macrostructural change in coal beds is a common geological phenomenon in many coal fields of China, which greatly affects production and is an urgent structural problem in mines. Macrostructure of coal beds, including branching, mergence and disappearance, can be interpreted using artificial neural network, and exact geological data can hence be provided for mining and lunnelling in mines.