Grey Smoothing Model for Predicting Mine Gas Emission
- 期刊名字:中国矿业大学学报
- 文件大小:
- 论文作者:潘结南,孟召平,刘亚川
- 作者单位:School of Resources and Safey Engineering,Jiaozuo Institute of Technology
- 更新时间:2022-09-22
- 下载次数:次
论文简介
A grey smoothing model for predicting mine gas emission was presented by combining the grey system theory with the smoothing prediction technique. First of all, according to the variable sequence, GM(1,1) model was set up to predict the general development trend of variable as first fitted values, then the smoothing prediction technique was used to revise the fitted values so as to improve the accuracy of prediction. The results of application in the No.6 Coal Mine in Pingdingshan mining area show that the grey smoothing model has higher accuracy than that of GM(1,1) in predicting the variable sequence with strong fluctuation. The research provides a new scientific method for predicting mine gas emission.
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