选模型预测矿井瓦斯涌出量
Using selecting model to predict gas emission in mine
将选模型运用到影响瓦斯涌出的因素选取中,以复决定系数作为衡量拟合方程优劣标准,运用SAS编制程序,得出了最优子集,运用Excel处理数据,得出了曲线拟合方程,计算出预测值,与真实值,得出结论:该方法建立回归模型,可以简化模型,减少多余自变量参与回归运算的计算量,有利于提高拟合精度,可以更好地对该矿瓦斯涌出量进行预报与控制。
he paper applies the selecting model into the selection of elements which affect the gas emission in the coal mine. With adjusted R-Square as the standard of judging the fitting equation, it uses the SAS to program and obtains the optimal subset, and then uses Excel to process data and reaches the curve fitting equation. Finally, after calculating the predicted values and the true values, it comes to the conclusion that: by establishing regression model, the method can simplify the model, reduce the involvement of superfluous independent variables in regression calculation and help improve the fitting accuracy, thus it could be better for forecasting and controlling the gas emission in the coal mine.
王晓卿、曹明、王长伟、杨增强、曹振兴
矿山安全、矿山劳动保护矿山环境保护矿业工程理论与方法论
瓦斯预测选模型复决定系数曲线拟合多元回归
gas forecastingselecting modeldjusted R-Squarecurve fittingmultiple regression
王晓卿,曹明,王长伟,杨增强,曹振兴.选模型预测矿井瓦斯涌出量[EB/OL].(2009-12-30)[2025-08-11].http://www.paper.edu.cn/releasepaper/content/200912-1171.点此复制
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