煤与瓦斯突出预测灰色理论-神经网络方法  

Prediction method of coal and gas outburst using the grey theory and neural network

作　　者：郭德勇[1] 李念友[1] 裴大文[1] 郑登锋[1] 

机构地区：[1]中国矿业大学(北京)资源与安全工程学院,北京100083

出　　处：《北京科技大学学报》2007年第4期354-357,共4页Journal of University of Science and Technology Beijing

基　　金：国家自然科学基金资助项目(No.40472084);教育部新世纪优秀人才基金资助项目(No.NECT-05-0214)

摘　　要：将灰色理论-神经网络方法应用于煤与瓦斯突出预测中,利用灰色系统理论的灰色关联法确定了控制矿井煤与瓦斯突出的主控因素,并对煤与瓦斯突出主控因素进行筛选.建立了煤与瓦斯突出危险性预测人工神经网络的数学模型和系统结构.在平顶山八矿突出区进行了煤与瓦斯突出危险性预测应用,预测效果表明:利用灰色系统理论-神经网络方法对预测矿井煤与瓦斯突出是可行的.The grey theory and neural network method were applied to coal and gas outburst forecast. Main controlling factors of coal and gas outburst were filtered by the grey correlation method of the grey system theory. The mathematical model and systematic structure of artificial neural network were founded to forecast the risk of coal and gas outburst. The effectiveness of the risk forecast in the outburst zone of Pingdingshan No. 8 Coal Mine was demonstrated the grey theory and neural artificial network as a new means is available.

关 键 词：煤与瓦斯突出 突出预测 灰色关联 人工神经网络 

分 类 号：TD713.2[矿业工程—矿井通风与安全]