第二章利用QSPR研究方法,将遗传算法(Genetic Algorithm,GA)和多元线性回归方法(Multiple Linear Regression,MLR)结合,建立了预测苯甲酸、吡啶、喹啉及其它们的取代物等56个化合物药物渗透性的QSPR模型,所选的最终...
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应用试验结果和多元线性回归方法，拟合出适合试验数据的经验关系式。
Using multivariate linear analysis, a heat transfer equation from the experiment results was suggested for engineering application.
最后，利用方差分析和多元线性回归方法建立了预报日nee的线性模型。
Finally, a linear model is established to forecast diurnal NEE through variance analysis and multiple linear regression methods.
在此基础上，分别运用多元线性回归和BP神经网络方法研究边坡稳定性预测模型，并将其结果与极限平衡分析方法进行对比。
Based on this, forecast model for slope stability was studied by multivariate linear regression and BP neural network methods, and the results were compared with those by limit equilibrium method.
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