摘要
鉴于煤与瓦斯突出对煤矿的安全生产的威胁以及其影响因子的复杂性,合理的选择煤与瓦斯突出预测的影响因子,利用非线性的BP人工神经网络建立煤与瓦斯突出强度预测模型,来预测煤与瓦斯突出强度的大小。结果显示,煤与瓦斯突出强度的预测值与实测值吻合得较好,表明采用BP神经网络预测煤与瓦斯突出强度是可行的,为矿井煤与瓦斯突出的预测提供了一种预测精度较高的方法。
Based on the fact that coal and gas outburst threatens mine safety in production and the complex factors of influencing,to choice reasonable factors of influencing about prediction of coal and gas outburst,a prediction model of coal and gas outburst was established by non-linear BP neural network,to predict the strength of coal and gas outburst.The data demonstrated that the prediction was identical with observed data,the results show that it is right and feasible to build the BP neural network model and predict the strength of coal and gas outburst.It provides a new higher precision method of predicting coal and gas outburst in mine.
出处
《矿冶》
CAS
2010年第3期21-23,共3页
Mining And Metallurgy
关键词
BP神经网络
煤与瓦斯突出
预测模型
煤矿
BP neural network
coal and gas outburst
prediction model
coal mine
