基于概率分布的煤层厚度预测研究

Prediction of Coal Seam Thickness Based on Probability Distributions

为了能够准确地预测和描述煤岩界面预测问题,提出一种基于概率分布的煤岩层预测算法,通过训练开采过程中已存储的截割数据,并以最大似然估计法优化高斯过程回归算法中的超参数得到预测模型。

In order to predict and describe the coal rock interface prediction problem exactly,a prediction model of coal seam based on probability distributions is proposed,the maximum likelihood estimation method is used to optimize the hyper-parameter of probability distributions model based on Gaussian progress by training the prospecting data in the mining process.