主成份回归,principal component regression
1)principal component regression主成份回归
2)main factor regressive model主成份回归模型
1.It takes main factor regressive model as character extractor and ANN model as classifier.系统以主成份回归模型为特征提取器,用神经网络模型作分类器,是一种基于模式识别的故障诊断方法,减少了诊断过程中人为因素的影响,故而诊断的准确性、智能化水平及自动化程度都得到了提高。
3)Principal component regression spectrophotometry主成份回归分光光度法
4)poisson regression model with principal component主成份Poisson回归模型
5)principal component regression主成分回归
1.Research on simultaneous determination of monocyclic and polycyclic aromatic hydrocarbons in white oil by principal component regression method;主成分回归法同时测定白油中单环及多环芳烃含量
2.Simultaneous determination of calcium and magnesium in food by principal component regression spectrophotometry;主成分回归-分光光度法同时测定食品中的钙、镁
3.Simultaneous determination of vitamin B with principal component regression;主成分回归法同时测定维生素B
英文短句/例句

1.The Application of the Analysis of Net Quantity of Cash Put into Circulation with Principle Component;主成分回归在区域现金净投放分析中的应用
2.The Regression Models of Principle Component Analysis on In-output Variables in Agriculture;农业投入产出变量的主成分回归分析模型
3.Evaluating Economic Benefits of Enterprises with Principal Components Regression Analysis;应用主成分回归分析评估企业经济效益
4.Application of Principal Component Regression to Dam Safety Monitoring主成分回归分析在大坝安全监测中的应用
5.The Application of SPSS'PCA in Malt Production基于SPSS的主成分回归分析在麦芽生产中的应用
6.The Application of the Principal Component Regression in Forecasting Urban Water Use;主成分回归在城市用水量预测中的应用
7.Construction and prediction of the main composition regression model of the gross vegetables output of China;我国蔬菜总产的主成分回归模型的构建及预测
8.Highway Passenger Transport Volume Forecast Models Based on Regression of Principle Component Analysis基于主成分回归的公路客运量预测模型研究
9.An Analysis of Macroeconomic Factors of Farmers Income Increasing in Hubei Province --Basing on Regression Model of the Main Elements;湖北省农民增收的宏观经济因素分析——基于主成分回归模型的分析
10.Factors influencing the traffic of Chinese Provincial Government Portals based on Principal Component Regression基于主成分回归的省级政府网站访问量影响因素分析
11.The Optimal Subsidy of Cotton Production in China--Empirical Analysis Based on Principal Component Regression Method中国棉花补贴方式的最优选择——基于主成分回归的实证分析
12.Study on Simultaneous Determination of Pigments in Tetrad Mixtures by Spectrophotometry with Wavelet Transform-Principal Component Regression Method小波变换-主成分回归法在四组分食用色素同时测定中的应用研究
13.Study on the Application of Supervised Principal Component Regression Procedure to Near-Infrared Spectroscopy Quantitative Analysis有监督主成分回归法在近红外光谱定量分析中的应用研究
14.Empirical Study on the Widened Differences in Personal Income of Our Country's City Dwellers Based on the Principal Components Regression Analysis基于主成分回归分析的我国城镇居民收入差异的实证研究
15.Principal Components Estimate of Regression Coefficient of Multivariate Linear Regression Model;多元线性模型回归系数的主成分估计
16.Principal Component Linear Regression Analysis on Performance of Applications主成分线性回归模型分析应用程序性能
17.Logistic Regression Based on Principal Component Analysis in Resolving Credit Risk Discrimination of Corporate企业信用风险判别的主成分Logistic回归分析
18.An Improvement of Combining Generalized Ridge and Principal Components Estimator for Seemingly Unrelated Regression System半相依回归系统的广义岭型主成分改进估计
相关短句/例句

main factor regressive model主成份回归模型
1.It takes main factor regressive model as character extractor and ANN model as classifier.系统以主成份回归模型为特征提取器,用神经网络模型作分类器,是一种基于模式识别的故障诊断方法,减少了诊断过程中人为因素的影响,故而诊断的准确性、智能化水平及自动化程度都得到了提高。
3)Principal component regression spectrophotometry主成份回归分光光度法
4)poisson regression model with principal component主成份Poisson回归模型
5)principal component regression主成分回归
1.Research on simultaneous determination of monocyclic and polycyclic aromatic hydrocarbons in white oil by principal component regression method;主成分回归法同时测定白油中单环及多环芳烃含量
2.Simultaneous determination of calcium and magnesium in food by principal component regression spectrophotometry;主成分回归-分光光度法同时测定食品中的钙、镁
3.Simultaneous determination of vitamin B with principal component regression;主成分回归法同时测定维生素B
6)Principle component regression主成分回归
1.In this paper, a new algorithm for multivariate calibration named principle component regression based on wavelet (PCRW) is proposed.将小波变换与主成分回归相结合,提出一种新型多元校正算法——小波基主成分回归法。
2.A new method is proposed for the voidage measurement of gas-oil two-phase flow, based on principle component regression (PCR) and partial least squares regression (PLSR), with the capacitances from 12-electrode Electrical Capacitance Tomography (ECT) system.本文利用12电极ECT系统提供的电容测量信息,基于主成分回归(PCR)和偏最小二乘回归(PLSR)技术,提出了一种油气两相流空隙率测量的新方法。
3.Ridge regression(RR,principle component regression(PCR) and partial least square regression(PLSR) can all alleviate or eliminate the negative effects of collinearity at some degrees,but all fail in preceding other methods on theories and modeling effects.结果表明,变量筛选法在处理共线性问题时,会将一些重要的解释变量排除在模型之外,从而削弱了理论的优先地位和导向功能;岭回归、主成分回归和偏最小二乘回归都能够不同程度地减轻或消除自变量共线性的不良影响,但均不能在理论和建模效果上一致地优于其他方法。
延伸阅读

主成分回归分析分子式:CAS号:性质:以主成分为自变量进行的回归分析。是分析多元共线性问题的一种方法。用主成分得到的回归关系不像用原自变量建立的回归关系那样容易解释。