应用逻辑斯谛回归函数确定煤与瓦斯突出预测敏感指标

Determining Coal and Gas Outburst Prediction Sensitive Indexes by Applied Logistic Regression Function

利用SPSS软件,根据逻辑斯谛回归模型确定突出预测时的敏感指标,对某煤矿掘进工作面的突出预测指标样本进行分析,发现SPSS逻辑斯谛回归所确定的敏感指标与"三率"法结论一致,且逻辑斯谛回归是将定量与定性参数结合回归,所得结论更具说服力,更科学合理。

In this paper,SPSS software in accordance with logistic regression model was used to determine sensitive indexes during the outburst prediction. According to the analysis on samples for outburst prediction on driving face in a certain coal mine,it was found that sensitive indexes determined by SPSS logistic regression have the same conclusion with ＂ three rate＂ law,and logistic regression is to combine quantitative and qualitative parameters of the handover,the conclusion is more convincing,more scientific and reasonable.