| 基于神经网络的煤矿底板突水预测 |
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| 引用本文： | 江东,陈佩佩.基于神经网络的煤矿底板突水预测[J].灾害学,1999,14(1):28-32. |
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| 作者姓名： | 江东 陈佩佩 |
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| 作者单位： | 中国科学院自然资源综合考察委员会!北京１００１０１(江东，王建华)，中国矿业大学资环学院(陈佩佩，杨木根) |
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| 摘 要： | 阐述了运用人工神经网络建立煤矿底板突水预测模型的思路与方法，并以山东国家庄煤矿为例，对该方法的合理性和准确性进行了验证．研究表明，利用人工神经网络建立非线性系统的预测模型，具有自学习、自适应、精度高等显著优点．
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| 关 键 词： | 神经网络 煤矿开采 矿山突水 预测 |
FORECASTING OF WATER INRUSH IN COAL MINEBY ARTIFICIAL NEURAL NETWORK |
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| Jiang Dong, Wang Jianghua.FORECASTING OF WATER INRUSH IN COAL MINEBY ARTIFICIAL NEURAL NETWORK[J].Journal of Catastrophology,1999,14(1):28-32. |
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| Authors: | Jiang Dong Wang Jianghua |
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| Abstract: | The paper introduces the theory and method of application of artificialneural network (ANN) in establishing forecasting model of water inrush in coal mine.The rationality and veracity are validated by practical example of water inrush inGuojiazhuang coal mine, Shandong province' The ANN is proved to be an efficientmethod to establish forecasting models of nonlinear system for its characters such asself-adapt, self-study and high precision. |
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| Keywords: | Artificial neural network Coal mining Water inrush Forecast |
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