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

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. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of China Academy of Safety Science and Technology, China University of Mining and Technology(Beijing), McGill University and University of Wollongong.