基于贝叶斯分类器的直接顶稳定性的预测方法研究

Research on Prediction Method of Direct Top Stability Based on Bayesian Classifier

直接顶板是煤矿工作面空间直接维护控制的对象,其完整程度及运动特征将直接影响回采工作面的安全。为预测直接顶的稳定性,提出一种基于贝叶斯分类器的直接顶稳定性的预测方法。该方法预测准确率92.31%,可为类似工程的直接顶稳定性预测提供参考。

Direct roof is the object of direct maintenance control of coal mining face space ,and itscomplete degree and movement characteristics will directly affect the safety of the mining work surface.In order to predict the stability of the direct roof, a prediction method of direct top stability based onbayesian classifier is proposed. The prediction accuracyis 92.31% ,which can provide reference for theprediction of direct roof stability of similar projects.