中文摘要：

将主成分分析与距离判别法应用于煤与瓦斯突出预测中,建立了煤与瓦斯突出预测的PCA-距离判别法模型。通过PCA法提取煤与瓦斯突出影响因素的主成分,选取贡献率大于85%的3个主成分指标来代替原有的8个指标,同时确定这3个主成分为距离判别分析法的输入参数。以平宝公司试验工作面的17组原始数据为学习样本,5组原始数据为预测样本,对该方法进行了检验,预测结果与实际符合,可以作为煤与瓦斯突出预测的一种新方法。

英文摘要：

Through applying principal component analysis and distance discriminance to coal and gas outburst prediction,PCA-distance discriminance model for coal and gas outburst prediction was established.The PCA was used to find out influence factors of coal and gas outburst,three principal component indexes whose contribution rate greater than 85%was adopted instead of eight original indexes,and the three principal components were took as input parameters of distance discriminance.Taking 17 sets of original data of a test working face of Pingbao Company as learning samples and 5 sets of original data as prediction samples,the method was confirmed that could be a new method for coal and gas outburst prediction,as the prediction result was agree with the actual situation.