This paper considers comprehensively water source, water pressure, impedance water strata, and fault ectal factors to establish a ANN forecast model for water-inrush from coal floor.
本文综合考虑水源、水压、隔水层、断层等因素对煤层底板突水的影响，建立了煤层底板突水人工神经网络预测模型。
Those achievements provide theoretical basis for water inrush risk evaluation and forecast of floor of coalmine field No. 12 and underground water inrush prevention.
这些成果为井田12煤层底板突水危险性评价与预测和井下突水防治提供理论依据。
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