BP神经网络煤自燃危险等级测评模型的研究及应用  

Development and application of risk grade measurement and evaluation model of coal spontaneous combustion with BP neural network

作　　者：朱红青[1] 丁百川[2] 崔伟杰[2] 

机构地区：[1]中国矿业大学(北京)资源与安全工程学院安全工程系,北京市海淀区100083 [2]国家煤矿安全监察局事故调查司,北京市和平里100713

出　　处：《中国煤炭》2007年第5期68-71,4,共4页China Coal

基　　金：国家重点基础研究发展计划(973)资助;编号:2005CB221506。项目名称:预防煤矿瓦斯动力灾害的基础研究

摘　　要：基于煤自燃机理和自燃的各影响因素的综合分析,研究应用人工神经网络实现矿井自燃危险等级评测。通过建立矿井煤自燃发火等级测评指标体系和BP网络测评模型,采用现场实际数据对神经网络模型进行训练,训练校验结果表明该模型能较准确评测矿井自燃发火等级。针对赵各庄矿的实际情况进行了应用,测评误差满足实践要求。Based on the mechanism of spontaneous combustion of coal and the comprehensive analysis of various impact factors to apply artificial neural network to realize the assessment of danger classification of coal spontaneous combustion of underground mine. Through establish the classification assessment index system of spontaneous combustion of coal and BP network assessment model, apply actual data to train the neural network model, the result shows that this model can precisely assess the classification of coal spontaneous combustion.

关 键 词：自燃危险等级 BP神经网络 指标体系 测评模型 

分 类 号：TD752.2[矿业工程—矿井通风与安全]