Research on the Prediction of Gas Emission Quantity in Coal Mine Based on Grey System and Linear Regression for One Element

摘要：

On the basis of introducing two kinds of basic forecasting methods of grey forecast and the forecast of one element linear regression, and in combination with the actual situation of coal mines, this paper predicted the amount of gas emission and compared the accuracy of forecast value of the two methods. The results show that, for the data conforming to the linear relationship, model GM(1,1) of grey forecast is better than one element linear regression in accuracy of forecast value, and this provides the ways and means for the study and numerical prediction for similar problems.

关键词： coal mine gas emission quantity grey forecast one element linear regression GM(1,1)

作者: JING Guo-xun XU Sheng-ming HENG Xian-wei LI Chuang-qi

作者单位: School of Safety Science and Engineering, Henan Polytechnic University, Jiaozuo 454000,China

会议类型: 国际会议

会议名称: The First International Symposium on Mine Safety Science and Engineering (首届矿山安全科学与工程学术会议)

会议地点: 北京

会议语种:英文

页码: 1515-1520

在线出版日期: 2011-10-27（万方平台首次上网日期，不代表论文的发表时间）