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基于灰色预测模型与一元线性回归模型的煤矿瓦斯涌出量预测比较
引用本文:景国勋,衡献伟.基于灰色预测模型与一元线性回归模型的煤矿瓦斯涌出量预测比较[J].安全与环境工程,2010,17(5).
作者姓名:景国勋  衡献伟
作者单位:河南理工大学安全科学与工程学院,河南,焦作,454000
摘    要:在介绍灰色预测模型和一元线性回归模型的基础上,结合某煤矿实际,采用两种模型对瓦斯涌出量进行了预测,并对两种模型的预测值进行比较,结果表明:对基本符合线性关系的数据,采用灰色GM(1,1)模型较一元线性回归模型的预测精度要高。

关 键 词:煤矿  瓦斯涌水量  灰色预测  一元线性回归

Study on the Prediction of Coalmine Gas Emission Quantity Based on the Comparison between Gray System and One Element Linear Regression
JING Guo-xun,HENG Xian-wei.Study on the Prediction of Coalmine Gas Emission Quantity Based on the Comparison between Gray System and One Element Linear Regression[J].Safety and Environmental Engineering,2010,17(5).
Authors:JING Guo-xun  HENG Xian-wei
Institution:JING Guo-xun,HENG Xian-wei (School of Safety Science and Engineering,Henan Polytechnic University,Jiaozuo 454000,China)
Abstract: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 values 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 a...
Keywords:GM(1  1)
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