偏最小二乘我会想更多地了解你。
你可以计算偏最小二乘回归。
实践表明，偏最小二乘回归是一种可以采用的方法。
It has been shown that partial least squares regression is a good method that can be adopted.
偏最小二乘是在光谱多元校正中广泛使用的一种算法。
Partial least squares (PLS) is a popular multivariate calibration method applied widely to the multi- component spectral calibration.
最后，我们对偏最小二乘回归中的定阶问题进行讨论。
在相对合理的样本空间中采用偏最小二乘回归建立模型。
Then it builds a model by partial least squares regression on the obtained sample space.
将偏最小二乘回归与神经网络耦合，建立了径流量预报模型。
Coupling partial least-squares regression and neural network in the article, the forecasting model of the quantity of runoff is established.
比较了偏最小二乘(pls)法在两种情况的定量预测能力。
The quantitative prediction abilities of Partial Least Squares method in both cases are compared.
将偏最小二乘回归与神经网络耦合，建立了矿坑涌水预报模型。
The authors establish the forecasting model for water yield of mine, combining neural network model with the partial least square method.
将偏最小二乘回归与神经网络耦合，建立了城市生活用水量预测模型。
The paper establishes the model for the urban life-water quantity prediction by means of combining neural network with the partial least squares method.
偏最小二乘回归是通过一组自变量来预测一个或一组因变量的统计方法。
Partial least squares regression is a statistical method which is based on a set of dependent variables to predict the independent variables.
但是，由于偏最小二乘回归模型最终可以表示为原有所有变量的回归方程。
But the partial least squares regression models can be expressed by the original variables.
本文提出采用因素分析方法，对偏最小二乘回归的最优子空间进行正交变换。
In this paper the factor analysis method is presented to transform orthogonally the optimal subspace, which is obtained from partial least squares regression.
本文利用偏最小二乘回归分析方法和四分模型找出影响顾客满意度的关键因素。
This paper use partial least squares regression analysis and quarter of the model to identify the key factors affecting customer satisfaction.
证明出，偏最小二乘迭代算法在处理单张数据表成分提取时与主成分分析相同。
Obtained: Partial Least Squares iterative algorithm to handle data sheet leaflet extraction equivalence with Principal Component Analysis.
通过实例与神经网络法的结果进行了比较，结果表明偏最小二乘回归更精确和简单。
Parameters of aircraft effectiveness is analyzed, and a new effectiveness forecasting method based on partial least-square regression is proposed.
应用医学实例计算，对偏最小二乘回归与主成分回归及一般最小二乘回归进行比较。
To compare PLS with principal component regression (PCR) and ordinal least square regression (OLS) by a medical case.
本文就围绕偏最小二乘回归法展开讨论，首先，给出偏最小二乘回归法的理论推导。
In this paper, we discussed some issues of PLSR. First, Partial Least Squares Regres-sion are given theoretical derivation.
采用多向核偏最小二乘(MKPLS)方法建立间歇过程的模型并进行操作条件的优化。
Multiway kernel partial least squares (MKPLS) can be used for modeling and optimal control of batch processes.
为进一步提高回归算法的色彩校正精度，提出一个基于核偏最小二乘回归的局部迭代算法。
To further improve the calibration precision of the previous regression algorithms, an iterative local algorithm of color calibration based on kernel partial least squares regression is proposed.
为解决上述问题，我们提出了一种基于偏最小二乘理论的中间语义的跨语言信息检索方法。
To solve the above problems, we propose a cross-language information retrieval method using the interlingua semantics based on Partial Least-Squares (PLS) theory.
为了建立基于光谱的实时监测模型，本文给出了一种基于移动窗口策略的的偏最小二乘算法。
In order to establish real - time model of spectral measurement, a algorithm called Moving Windows Partial Least Squares algorithm is proposed.
引入了主成分分析与偏最小二乘回归等多元统计与回归方法，并分析了其基本思想与优缺点。
Then the basic concepts of principal component analysis and partial least square regression are studied, as well as their advantages and disadvantages.
文中应用偏最小二乘（PLS）回归方法建立了配电商的基于生产函数理论的成本函数模型。
Partial least-squares regression (PLS) method is applied in the construction of the production function based cost function model of electricity distribution utilities.
针对两栖突击车作战效能和偏最小二乘的特点，提出了基于偏最小二乘预测作战效能的方法。
Based on the characteristics of the amphibious armored car operational effectiveness and partial least-squares regression, the forecast method of operational effectiveness is introduced.
本文主要研究内容和研究成果包括两个部分第一部分是研究近期偏最小二乘非线性建模算法。
This paper mainly includes two parts contents and researches. The first part is about study of PLS nonlinear regression algorithm.
运用径向基函数网络结合偏最小二乘回归的方法建立了甲醇合成反应器出口甲醇含量的预测模型。
A prediction model of methanol content at the exit of methanol synthesis reactor was proposed through radial basis function networks and partial least square regression approach.
运用径向基函数网络结合偏最小二乘回归的方法建立了甲醇合成反应器出口甲醇含量的预测模型。
The radial basis function networks (RBFN) was combined with the cyclic subspace regression (CSR) in this paper, and a modeling approach by RBFN-CSR was designed.
运用径向基函数网络结合偏最小二乘回归的方法建立了甲醇合成反应器出口甲醇含量的预测模型。
The radial basis function networks (RBFN) was combined with the cyclic subspace regression (CSR) in this paper, and a modeling approach by RBFN-CSR was designed.
应用推荐