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基于BP神经网络模型的地下采煤区地表沉降预测

Jianliang Zhang

Energy Science and Technology（2020）

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Abstract
地下采煤区地表沉降预测是保障采煤区可持续发展的重要技术环节,本文以国家能源集团榆家梁煤矿52406工作面29期实测地表沉降值为数据源,以BP神经网络模型开展地表沉降预测分析.结果表明,地下采煤区地表沉降BP神经网络预测值与实测值吻合度高,模型精度为一级,为地下采煤区地表沉降预测研究与应用提供了实践应用.
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