| 人工神经网络在煤层宏观结构解释中的应用 |
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| 引用本文： | 崔若飞,王磊.人工神经网络在煤层宏观结构解释中的应用[J].高校地质学报,1997,3(3):324-327. |
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| 作者姓名： | 崔若飞 王磊 |
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| 作者单位： | 中国矿业大学 |
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| 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。
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| 关 键 词： | 人工神经网络 煤层 宏观结构 地震资料解释 |
| 收稿时间： | 1997-09-20 |
| 修稿时间： | 1997-09-20 |
APPLICATION OF ARTIFICIAL NEURAL NETWORK TO MACROSTRUCTURE INTERPRETATION OF COAL BEDS |
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| Cui Ruofei,Wang Lei.APPLICATION OF ARTIFICIAL NEURAL NETWORK TO MACROSTRUCTURE INTERPRETATION OF COAL BEDS[J].Geological Journal of China Universities,1997,3(3):324-327. |
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| Authors: | Cui Ruofei Wang Lei |
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| Institution: | China University of Mining and Technology, Xuzhou 221008 |
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| 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 tunnelling in mines. |
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| Keywords: | artificial neural network macrostructure of coal beds seismic data interpretation |
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