Bayes逐步判别法在邢台煤矿突水水源判别中的应用  

The Application of Bayes Stepwise Approach in the Discrimination of Mine Water-inrush Source

作　　者：聂荣花 晏伟[2] 萨贤春[2] 

机构地区：[1]中煤科工集团西安研究院,陕西西安710000 [2]西安科技大学测绘科学与技术学院,陕西西安710000

出　　处：《中国西部科技》2012年第6期30-32,共3页Science and Technology of West China

摘　　要：快速有效地判别突水水源是矿井安全生产的重要保障。文章以邢台煤矿为研究对象,选取各含水层多项水质指标,应用Bayes逐步判别法建立矿井突水水源快速判别模型。结果表明:Bayes逐步判别模型以其计算过程简单、模型结构稳定而优于其它模型,既提高判别准确率又提高判别速度,实现对突水水源快速有效判别,为防治水工作提供有力依据。Discriminating the water-inrush source correctly and quickly is an important guarantee for mine safe production. Based on the mastery of the geological and hydro-geolgical background of Xingtai coal mine, we selected items of water parameters for each aquifer and applied Bayes method to establish the model of rapidly identifying water-bursting source for different types of water coal mine. The results showed that Bayes stepwise discriminant model is superior to other models because of its simple calculation and stable structure.

关 键 词：矿井突水 水源判别 Bayes逐步判别 

分 类 号：TD745[矿业工程—矿井通风与安全]