【摘要】 为准确预测矿井煤与瓦斯突出的危险性 ,本文基于反向BP神经网络提出了一种改进的自适应变步长BP网络模型 ,加快了BP网络的收敛速度。实际应用效果表明 ,该模型具有收敛速度快、准确性高、可靠性和实用性强等特点 ,是一种有效的煤与瓦斯突出危险性预测方法更多还原

【Abstract】 For the purpose of predicting the danger of coal and gas outburst in mine coal layer correctly,a kind of moddified BP neural network was put forth in this paper.In order to speed up the network convergence speed,by means of changing network iteration step-length ,a modified BP neural method was adopted.Practical application demonstrates that the prediction model has fast convergece speed and good prediction accuracy,which is also a kind of very efficient prediction method for mine coal and gas outburst,and has important practical meaning for the mine production safety.更多还原