Coal seam spontaneous combustion prediction based on General Regression Neural Network

摘要：

Coal seam spontaneous combustion is one of the colliery major disasters.Accurate prediction of the tendency of spontaneous combustion in exploiting coal seam is of great importance.There exists a kind of complicated nonlinear relation between the tendency of spontaneous combustion and its influence factors,General Regression Neural Network has mighty capability of nonlinear approach and could truly show the nonlinear relation between input variables and output variables.In this paper,after roundly analyzing affecting factor of coal seam spontaneous combustion and abroad referring other prediction models,the coal seam spontaneous combustion prediction model of General Regression Neural Network is established.The prediction model and artificial neural network tool chest of MATLAB are applied to compile program and train and forecast some coal seam samples of certain coal mine.The maximum error is just 0.0764 in six prediction tests.Researches prove that this prediction model is precise enough,so it could be used to forecast coal seam spontaneous combustion.

关键词： Coal seam spontaneous combustion General Regression Neural Network Prediction model Sample Training

作者: Wei Cheng Xin Song Zou Yuhong

作者单位: Key Laboratory of Mining Disaster Prevention and Control,Shandong University of Science and Technolo College of Chemical and Environmental Engineering,Shandong University of Science and Technology,Qing

会议类型: 国际会议

会议名称: The 2007 International Conference on Mine Hazards Prevention and Control(2007矿山灾害预防与控制国际学术会议)

会议地点: 青岛

会议语种:英文

页码: 514-519

在线出版日期: 2007-10-17（万方平台首次上网日期，不代表论文的发表时间）