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将偏回归平方和理论运用到影响某矿瓦斯涌出量预测指标的选取中,确定了影响该矿瓦斯涌出量的主要影响因素,根据这些主要影响因素建立了预测瓦斯涌出量的多元回归模型。在进行指标选取之前,对各数据按照极差标准化原理进行了无量纲化,避免了量纲差异带来的问题。最后,通过分析,得出结论:采用偏回归平方和参数对该矿瓦斯涌出量影响因素进行优选建立回归模型是可行的,同时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。
The partial regression sum theory is applied to the selection of prediction index of gas emission in a mine, and the main influencing factors affecting the gas emission of the mine are determined. Based on these major influencing factors, a multiple regression for predicting gas emission model. Prior to the selection of indicators, the data were dimensioned according to the principle of very poor standardization, avoiding the problems caused by dimensional differences. Finally, through the analysis, it is concluded that it is feasible to establish the regression model to optimize the influencing factors of gas emission in this mine by using the regressive regression sum-squared parameter and at the same time it is beneficial to improve the fitting accuracy and to better mine the gas emission Output forecast and control.