以黄陵矿煤层瓦斯含量与相关因素的数据为例,采用基于多元非线性回归理论的数学方法,建立了一种适合矿井实际的预测模型:多元非线性瓦斯含量预测模型,通过该模型进行了煤层瓦斯含量预测,预测精度较高,适用性较强。
With the data of Huangling mine coal seam gas content and the related factors as an example,the mathematical methods based on the theory of multivariate nonlinear regression is used to establish a suitable prediction model for the practical mine: multivariate nonlinear gas content prediction model,by the model,we conducted the coal seam gas content prediction,prediction accuracy is high and applicability is strong.