| 突水预报神经网络系统在煤矿防治水方面的应用 |
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| 引用本文： | 范学恭.突水预报神经网络系统在煤矿防治水方面的应用[J].科学之友,2006(8). |
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| 作者姓名： | 范学恭 |
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| 作者单位： | 内蒙古煤炭供销公司 内蒙古呼和浩特010010 |
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| 摘 要： | 在深入分析各个煤矿突水原因基础上,收集大量资料,将人工神经网络技术用于矿井突水预报,建立起矿井突水与各种影响因素之间的映射关系,进而用于矿井突水预报,对预防工作面突水,保证矿井安全生产及其重要,对有采空区积水威胁的煤矿开采及设计具有指导意义。
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| 关 键 词： | 人工神经网络 BP模型 突水预报 |
Application of Artificial Neural Networks to Coal Mine Waterproof Work |
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| Fan Xuegong.Application of Artificial Neural Networks to Coal Mine Waterproof Work[J].Friend of Science Amateurs,2006(8). |
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| Authors: | Fan Xuegong |
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| Institution: | Fan Xuegong |
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| Abstract: | Based on the in-depth analysis of the cause of water inrush in coal mines, the paper collects massive information, applies artificial neural networks to pit water inrush forecast and then establishes the mapping relation between pit water inrush and various kinds of influencing factors. This is extremely important to prevent the water inrush of working face and to guarantee the safe production in pit and has the instruction significance to coal mining and design in water logging goaf. |
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| Keywords: | artificial neural networks BP model water inrush forecast |
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