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。
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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