基于BP神经网络的煤与瓦斯突出危险性的预测研究

Predetermination of coal and gas outburst based on BP neural network

摘要: 应用BP神经网络的理论和方法,结合贵州某矿山的实际情况,建立了基于BP神经网络的煤与瓦斯突出危险性预测的数学模型,通过数学软件matlab 7.0对煤层的突出危险程度进行了预测。结果显示,煤与瓦斯突出危险性的预测与实际情况相符,表明采用BP神经网络模型进行预测是可行的,为煤与瓦斯突出的预测提供了一种精度较高的方法。

Abstract: Combining the theory and methods of BP neural network,as well as the actual situation of one mine in Guizhou Province,build a mathematical model which could forecast coal and gas outburst.The results show that the predetermination tally with facts,this method is of significance in its application.