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 ridge parameter 的翻译结果: 查询用时：0.177秒
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 ridge parameter 岭参数(19)岭参数的(10)
 岭参数
 A nonlinear ridge regression modeling method based on Radial Basis Function was put forward, and the kernel of this modeling method is, firstly Radial Basis Function is used to realize the nonlinear mapping of input, and then a linear model using Ridge Regression is built, meanwhile, a re-estimation formula based on the Generalized Cross Validation(GCV) is adopted to calculate the ridge parameter k . 提出了一种基于径向基函数的非线性岭回归建模方法(RBF-RR),该方法的核心是先通过RBF的转换实现输入样本的非线性映射,然后用岭回归方法进行线性建模,并采用了一种效果较好的基于广义交叉有效性(GCV)的逐步估计法来确定岭参数k; 短句来源 The New Method of Choosing the Ridge Parameter KValue and its Application 岭参数K值选取新方法及其应用 短句来源 Determining the Ridge Parameter in a RidgeEstimation Using L-curve Method 用L-曲线法确定岭估计中的岭参数 短句来源 The core of this paper is to analyze and probe into ridge regression from different ideas, such as the existence of ridge parameter K, the choiceness of ridge estimation K , the choice of ridge parameter K and the methods of regression coefficients. 重点是从不同的角度不同的思想出发,对最常见的岭回归估计法进行了深入的探讨:岭参数K 的存在性,岭估计的优良性,岭参数K 的选择方法等。 短句来源 A METHOD FOR SELECTING RIDGE PARAMETER BASED ON HELMERT VARIANCE COMPONENTS ESTIMATION 一种基于Helmert方差分量估计的岭参数确定方法 短句来源 更多
 岭参数的
 Modified nonlinear ridge regression with optimal ridge parameter and its application to 4-CBA soft sensor 优化岭参数的非线性岭回归及4-CBA含量软测量 短句来源 In the meantime, the unbiased estimate of MSE of any linear tranformation of LS estimate β is given, and the formula of determing Ridge parameter is derived by the method of minimized unbiased estimate of MSE. 同时对LS估计的任一线性变换,给出了其均方误差的一个无偏估计,并应用极小化β~*(K)的MSE的无偏估计的方法,得到了确定岭参数的公式。 短句来源 Another Method to Determine the Ridge Parameter in Ridge Regression 岭参数的又一确定方法 短句来源 Considering that there exist many factors having high-nonlinear and complex effect on the concentration of the 4-carboxybenzaldehyde (4-CBA) in product, which was the most important intermediate product of p-xylene oxidation reaction, a modified nonlinear ridge regression (MNRR) based on optimal ridge parameter, was proposed to develop the 4-CBA concentration soft sensor. Satisfactory results were obtained. 针对二甲苯氧化反应过程中影响主要副产物对羧基苯甲醛含量的因素众多且呈高度非线性的问题,提出基于优化岭参数的非线性岭回归MNRR算法,并应用于建立4CBA含量软测量模型,获得满意的结果. 短句来源 The selection of different methods on calculating the ridge parameter, the relative merits of ridge estimation and the least square estimation were expounded through some practical examples when multi-relativity existed between the factors of remote sensing and GIS. 通过实例计算,比较了当在影响蓄积估测的遥感和GIS因子间存在多重相关性时,岭参数的选择及岭估计和最小二乘估计的优劣。 短句来源 更多
 “ridge parameter”译为未确定词的双语例句
 When the ridge parameter K equalled 0.3,the ridge estimation to standard regression coefficient B and the B-k ridge trace were steady. As a result,the best ridge regression equation was:Y=0.0018X2+0.0474X3+0.0003421X5+0.36113X6.The coefficient of multiple correlation equals to 0.680286,Mallows Cp8.62(P<0.01). 在k=0.3处,求得岭迹稳定的标准化变量表示的拟合方程:y=0.0018_(X2)~-+0.0474_(X3)~-+0.0003421_(X5)~-+0.36113_(X6)~-。 方程的全相关系数为0.680286,Mallows CP统计量为8.62(P<0.01)。 短句来源 BAYES LINEAR ESTIMATOR OF LINEAR MODEL RIDGE PARAMETER 线性模型回归参数的Bayes线性估计 短句来源 The Ridge Parameter for Forest Stock Volume Quantitative Estimation 森林蓄积定量估测的岭估计参数 短句来源 A new diagnostic method of collinear and its application in selected ridge parameter. 一种新的共线性诊断方法及其在岭参数选择中应用 短句来源 A Method to Determine the Ridge Parameter in Ridge Regression 岭回归中确定K值的一种方法 短句来源 更多

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 ridge parameter
 The conditions of superiority of the proposed estimator for both ridge parameter k and departure parameter Delta are provided. So we adopted six procedures for the choosing biasing ridge parameter. In this section we introduce the methodology of the different approaches used to derive an expression for the ridge parameter K. In these results, we also tuned the ridge parameter in the logistic ridge regression so that the cell-level Precision can be maximized. Generalized cross-validation as a method for choosing a good ridge parameter. 更多
 In this paper, generalized ridge estimate β~*(K) of the regression coefficientβ=Vec(B) is considered in multivariate liner model. The MSE of above estimate is less than the MSE of the LS estimate by choosing the matrix K (ridge parameter). In the meantime, it is pointed out that the criterion MSE for choosing the matrix K of generalized ridge estimate has several weakness. In order to overcome these weakness a new family of criteria Q(C) is adpoted Which it includes the criterion MSE as a special... In this paper, generalized ridge estimate β~*(K) of the regression coefficientβ=Vec(B) is considered in multivariate liner model. The MSE of above estimate is less than the MSE of the LS estimate by choosing the matrix K (ridge parameter). In the meantime, it is pointed out that the criterion MSE for choosing the matrix K of generalized ridge estimate has several weakness. In order to overcome these weakness a new family of criteria Q(C) is adpoted Which it includes the criterion MSE as a special case. The good properties of the criteria Q(C) are proved and dicussed from theoretical point of view. The statistical meaning of the scale C are explaned and the methods of determining C for practical use are also sug-gested. 本文采用广义岭估计β~*(K)来估计多元线性模型中的回归系数β=Vec(B),通过K值的选取,可使均方误差MSE小于LS估计的MSE。分析了广义岭估计中根据MSE准则选取K值存在的主要缺陷,从理论上证明了选取K值的新准则——Q(C)准则的优良性,并给出了实际应用Q(C)准则的方法。 In this paper we introduce some ridge-type principal components predictors of any linear functions of the characteristics of population units for the finite population under the way of non-repeated sampling. A sufficient condition for superiority of a ridge-type principal components predictor with simple ridge parameter over the best linear unbiased (BLU) predictor with respect to prcdicdon mean squared error (PMSE) is obtained. Assuming normality of the distribution of disturbance in the model, superiority... In this paper we introduce some ridge-type principal components predictors of any linear functions of the characteristics of population units for the finite population under the way of non-repeated sampling. A sufficient condition for superiority of a ridge-type principal components predictor with simple ridge parameter over the best linear unbiased (BLU) predictor with respect to prcdicdon mean squared error (PMSE) is obtained. Assuming normality of the distribution of disturbance in the model, superiority of two adaptive ridge-type principal components predictors over the ξ-BLU predictor is also obtained. 本文研究了无放回抽样下有限总体单元特征任何线性函数θ=l＇y的岭型主成分预报,给出简单岭型主成分预报和两个自适应岭型主成分预报在预报均方误差(PMSE)准则下优于ζ—BLU预报的条件。 In this paper, We discuss the general ridge eslimate and give a new relat-ive efficiency in the general Gauss-Markoff model. By a constraint conditionin ridge parameter, We give a bound of the relative efficiency. 本文讨论了一般Gauss-Markif模型中未知参数向量的最优线性无偏估计的改进问题,引入了一般岭估什的概念及一种新的相对效率,证明了此种效率定义的合理性,并在岭参数的一定限制下,给出了这种估计效率的一个下界。 << 更多相关文摘
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