Research Into The Way of Forecasting Coal and Gas Outburst Applying Artificial Neural Network Numerical Analysis Combined with The Fault Tree Methods

摘要：

Based on the gas and geology theories,by creating a general fault tree model of coal and gas outburst,and by applying its quantitive computing method,the dominant factors are discovered ,which always lead to the happening of outburst and can be used to partition the coalfield into different gas-geology section;Following that, a non-linear numerical model for forecasting coal and gas outburst is built combined with artificial neural network numerical analysis methods,and some perfect computing conclusions have been acquired by the processes.On the other hand,some valuable attempts to research into gas-geology and to forecast coal and gas outburst by quantitive numerical methods are introduced in the paper.

关键词： coal and gas outburst fault tree analysis artificial neural network forecasting quantitive numerical model

作者: ZHANG Ruilin PEI Changhe LIU Xiao

作者单位: School of Safety Science & Engineering, Henan Polytechnic University,Jiaozuo 454003,Henan,China MiningVentilation Management Department of Yima Coal Group Company,Yima 472300,Henan,China

会议类型: 国际会议

会议名称: The 2007 International Symposium on Safety Science and Technology(2007采矿科学与安全技术国际学术会议)

会议地点: 河南焦作

会议语种:英文

页码: 1464-1468

在线出版日期: 2007-04-17（万方平台首次上网日期，不代表论文的发表时间）