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本文针对煤层底板突水系统为一非线性系统的特性，提出采用对非线性问题具有良好适用性的人工神经网络方法进行煤层底板突水预测。文中系统地阐述了人工神经网络预测的原理、建模方法、适用条件和应用问题，并在肥城矿务局对所建立的煤层底板突水预测人工神经网络系统进行生产性检验，取得良好的效果，说明人工神经网络方法应用于煤层底板突水预测的可靠性。
In this paper, aiming at the characteristics of a coal floor water inrush system as a nonlinear system, an artificial neural network with good applicability to nonlinear problems is proposed to predict the water inrush from the coal floor. The paper systematically expounds the principle, modeling method, application conditions and application problems of artificial neural network prediction. And the productive test is carried out in Feicheng Mining Bureau to establish the artificial neural network system of coal floor water inrush forecasting, which achieves good results , Illustrates the reliability of artificial neural network method applied to coal mine water inrush prediction.