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1.Prediction of higher-permeability region for CBM exploration based on multivariate regression analysis:A case study from Qinshui Basin
基于多元回归分析的煤储层高渗区预测——以沁水盆地为例收藏指正
2.The assessed results show that the prediction effect of artificial neutral networks model is better than that of multivariate nonlinear regression model, as well as the forecast effect of subsection model for water content of crude oil is better than that of united model.
评价结果表明:神经网络模型预测效果优于多元非线性回归模型,原油含水率分段预测模型效果优于统一模型。收藏指正
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