贝叶斯判别分析在矿井突水水源预测中的应用

Application of Bayes discriminant analysis on prediction of water inrush source

选用多项化学指标作为判别因子,建立了适用于不同水质类型矿井多类水源分析的贝叶斯(Bayes)判别分析模型进行矿井突水预测。通过对河南焦作矿区样本进行预测,对比实测数据,验证了该方法在突水预测中具有较高的准确性。

Several chemical indexes were selected as the discriminant factors. Then several bayes discriminant analysis modes were established for different coal mines with different quality water to predict the water inrush. The prediction data of samples from Jiaozuo Mining area in Henan proved that this method has high accuracy in water inrush prediction.