The ridge regression method is applied to impedance inversion.
应用岭回归法对波阻抗反演进行了理论和应用研究。
Ridge Regression Analysis is a nonlinear partial estimation method.
岭回归分析是一种非线性的有偏估计方法。
The statistical criteria for evaluating the gain and loss of ridge regression were presented.
阐述了脊回归和常规回归的差别和关系。
Next, Effect Variance Analysis and Ridge Regression of Chemical Mass Balance were used to calculate the source apportionment.
最后用化学质量平衡法的有效方差分析，脊岭回归分析计算源的分配。
The ridge regression method is applied to impedance inversion. The seismic data are divided into a few parts with certain frequency bandwidth in the inversion process.
应用岭回归法对波阻抗反演进行了理论和应用研究。
The statistical theorem and method of ridge regression were introduced, and the difference and relationship between ridge regression and traditional regression were expounded.
介绍了脊回归的统计学原理和方法；阐述了脊回归和常规回归的差别和关系。
The 0-K class of estimators if studied, it will be proved that under the mean square residua criterion the estimators can be improved via the generalized ridge regression technique.
研究这一估计的性质，证明利用0-K型广义岭估计技术可以改进广义岭估计（在均方残差意义下）。
Results there is multi-collinearity bias in the result of the least square estimation trend-surface model, use the method of ridge regression can control the multi-collinearity bias.
结果趋势面分析往往存在共线性偏倚，利用岭回归趋势面分析可以在一定程度上控制共线性偏倚。
The investigation object of this paper is the standard canonical form. In order to the mean square error, I analyze the existence and choiceness of ridge regression K in some spectrum.
本文以多元线性回归模型的典则形式为研究对象，从减小均方误差的角度出发，在一定的范围内分析了岭参数K 的存在性和岭估计的优良性。
We introduce ridge approximation techniques, which include single - and multi-layer perceptrons and projection pursuit regression techniques.
我们要介绍包含单层和多层式认知及投影式追踪回归法在内的脊近似值法。
It is proved that the combining ridge and principal components regression have the minimum variance sum in the class of reduced-dimension estimators.
证明了在一类岭型降维估计中，岭型主成分估计的方差和最小。
It is proved that the combining ridge and principal components regression have the minimum variance sum in the class of reduced-dimension estimators.
证明了在一类岭型降维估计中，岭型主成分估计的方差和最小。
应用推荐