岭回归

基于MATLAB的岭回归分析程序设计及其应用

Program Design and the Use of Ridge Regression Based on MATLAB

岭回归法解析病态光谱体系数据及其在复方维生素B分析中的应用

Solution of Morbid Spectra Data Systems by Ridge Regression Method and Its Application for Analysis of Complex Vitamins B

岭回归估计k值选取迭代算法的收敛性定理和极限

The convergence theorem and limit of the iterative algorithm for choosing K value in ridge regression estimation

选择岭回归参数k值的改进方法及其在农药定量构效关系中的应用

An Improved k-value Selection Method in Ridge Regression and Its Application to Quantitative Structure - Activity Relationships of Herbicides

基于VB的岭回归分光光度法同时测定五味子液成分的研究

Study on the Simultaneous Spectrophotometric Determination of Three Components Including Deoxyschizandrin by Ridge Regression Method

本文通过设计MATLAB中的Ridge1函数程序，介绍如何利用MATLAB进行岭回归分析。

The presented paper gives a practical method to estimate coefficients of ridge regression equation with MATLAB by designing the program .

本文以无不良符号为原则，利用二分法给出选择岭回归K值的一种方法。

This paper bases on the sign without contrary , introduce a way to select ridge regression K-value by using bisection method .

其次，如何利用含有多个正规化参数的局部岭回归方法进行RBF网络学习；

Second , how to utilize the " local " ridge regression method which including multiple regularization parameters in learning RBF network .

岭回归建模分析针对促进社会主义新农村经济发展的应用&以四川省南充市xx区为例

Ridge Regression Theory is Applied for Accelerate Socialist New Rural Economic Development : Example for xx Town Nanchong City

证实岭回归方法得到的QSPR模型更为合理并具有更高的稳定性。

This shows that the QSPR model with ridge regression is of more reasonableness and higher stability .

考虑当参数个数分别为有限和无限时，SCAD具有Oracle性质，但岭回归和LASSO不具有Oracle性质。

Considering the number of parameters is finite and infinite , SCAD has Oracle property but LASSO and Ridge do not have .

针对回声状态网络（EchoStateNetwork，ESN）模型易受异常点影响的问题，本文提出一种基于Huber损失函数的鲁棒岭回归方法。

Focusing on the problem that ESN ( Echo State Network ) is sensitive to outliers , this paper proposes a Robust ridge regression method by using Huber loss function .

ESN岭回归学习算法及混沌时间序列预测

Ridge regression learning in ESN for chaotic time series prediction

提出改进的预报相对误差法选择岭回归参数k，以平均预报相对误差替代预报残差平方和，并抑制过拟合。

A new criterion for k-value selection , the key problem existed in ridge regression , was proposed based on the combination of the average predictive relative error with average self-checking relative error instead of the sum of predictive residual squared error .

该建模方法的优点在于：径向基函数的引入赋予岭回归方法非线性功能，同时岭回归方法又可以消除使用RBF进行非线性处理后RBF输出之间潜在的复共线性。

The advantages of this modeling method is that the introduction of the RBF gives the Ridge Regression a nonlinear ability and the RR can also eliminate latent multicollinearity after the nonlinear process using the RBF .

经过对岭回归法、主成分回归法、PLS回归法等各类实证方法的探索和试验，本文最终选定了偏最小二乘（PLS）回归法作为主要的实证研究方法。

After experiments of various empirical methods such as Rigid Regression , Principal Component Regression and Partial Least-Squares Regression etc. , Partial Least-Squares Regression is chosen to be the main tool of empirical study .

SAS6.11版岭回归分析程序设计及其实例分析

Researching SAS program of ridge regression with in an example

通过岭回归和面板数据回归分析，发现教育投入受到GDP、财政收入、财政支出、居民储蓄存款余额影响较大，教育投入总额增长更受益于财政支出的增长。

Through Ridge regression and panel data regression , it is found that educational investment is influenced remarkably by GDP , financial income , financial expenditure , and surplus of residents deposits , and that the increase of total educational investment benefits from the increase of financial expenditure .

本文给出了在SAS6.11及以上版本中实现岭回归分析的程序，用具体实例说明进行岭回归的方法。

This article gives a program of ridge regression with SAS6.11 version , and illustrate the method of the ridge regression by an example .

建立了岭回归中的方差比Cook距离、W-K统计量.用他们研究了数据对岭估计及拟合值的影响，得到了一些有用的结果。

In this paper we set up variance ratio , Cook distance and W-K statistics in the ridge regression and we use them to study the influence of data on the ridge estimator and the fitted value at x_j . Some useful results are reached .

具体研究内容包括：1、将时间序列预测、多元回归、岭回归相结合，并将销售信息作为销售量的解释变量，构建了CPFR流程下的混合协同预测模型。

The main research contents include : 1 、 This paper constructs the mixed collaborative sale forecasting model based on CPFR via integrating time series forecasting , multivariate regression and ridge regression . In addition , the model takes sale information as explanation variable .

经过实验验证，基于核方法的AAM拟合算法可以更为精确地定位人脸。最后，本文提出将AAM应用于人脸姿态估计中，即基于AAM的岭回归姿态估计。

After a series of experiments , it can be found that AAM fitting algorithm based on kernel method is more accurate on the face image location . Finally , in this part the AAM fitting algorithm applies to face pose estimation , that is ridge regression based on AAM .

为减少隐含层神经元个数，增加神经网络的灵活性，我们提出了隐含特征空间岭回归（HFSR）并将其拓展到多隐含层前馈神经网络（MLFN）。

In order to reduce the number of nodes in the hidden layer and increase the flexibility of neural networks , we propose a hidden feature space ridge regression ( HFSR ) and expanse to a multi-hidden layer feedforward neural network ( MLFN ) .

岭回归方法对医院住院病人成本评估的探讨

Study on Evaluation Method of Inpatients ' Cost by Ridge Regression

药物动力学参数标准差的岭回归估计

Ridge regression estimation of the standard deviation of parameters in pharmacokinetics

基于核岭回归的非线性系统辨识及其应用

Nonlinear Systems Identification Based on Kernel Ridge Regression and Its Application

岭回归法同时测定五组分的研究

Research into Simultaneous Determination of Five Components by Ridge Regression Spectrophotometry

6种禾本科牧草种子产量因子与产量的岭回归模型研究

Ridge regression analysis of seed yield components of six grass species

卫生总费用影响因素的岭回归分析

Ridge regression analysis of influential factors on total health expenses

岭回归参数选择的主成分方法

The Choice of Ridge Regression Parameter from Principal Component Viewpoint