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偏最小二乘回归建模分析程序，在matlab里面运行，是较新的一种统计分析方法，较以往的分析方法相比有很多优点-partial least squares regression modeling analysis procedures, the operating inside Matlab, it is a relatively new statistical analysis method, compared to the previous method has a lot of advant
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遗传算法-偏最小二乘法,用于分析定量GA-PLS-GA - partial least squares method for quantitative analysis of GA - PLS
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应用MATLAB编写的偏最小二乘法程序,且具有画图功能-MATLAB prepared by partial least squares procedure, which is drawing functions
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应用程序 偏最小二乘法回归分析 pls matlab-application partial least squares regression analysis pls Matlab
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matlab 遗传算法偏最小二乘法(gapls)-Matlab GA partial least squares (gapls)
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?Spider-matlab工具箱，为一良好的数据分析工具箱，内建核偏最小二乘回归(KPLS),径向基网络回归(RBFnet)等；支持向量机(SVC)分类；聚类分析等．-Spider-Matlab Toolbox for a good data analysis toolbox. Built-nuclear partial least squares (PLS) regression neural network (RBFnet); Support Vector Machine (SVC) c
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有监督自组织映射-偏最小二乘算法(A supervised self-organising map–partial least squares algorithm),可以用语多变量数据的回归分析-supervised self-organizing map - Partial Least Squares (A supervised self-org anising map - partial least squares algorithm) , terms of the multi - var
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Partial Least Squares regression bilinear factor model 的输出源码-Partial Least Squares regression bilinea r factor model output FOSS
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PCA and PLS aims:to get some
insight into the bilinear factor models Principal Component Analysis
(PCA) and Partial Least Squares (PLS) regression, focusing on the
mathematics and numerical aspects rather than how s and why s of
data analysis
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这是做偏最小二乘回归的软件代码,在matlab中可以实现,This is so partial least-squares regression of the software code in matlab can be achieved in
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这是遗传算法和偏最小二乘法的共同使用做回归,非常好的程序,This is a genetic algorithm and partial least squares regression to do the common use, very good procedures
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偏最小二乘算法在MATLAB中的实现，直接将文件拷贝至matlab文件夹下，即可使用。详细使用方法见代码本身,Partial least-squares algorithm in MATLAB in the realization of a file copy directly to the matlab folder, you can use. See detailed use of the code itself
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主成分分析和偏最小二乘SquaresPrincipal成分分析（ PCA ）和偏最小二乘（ PLS ） ，广泛应用于工具。此代码是为了显示他们的关系，通过非线性迭代偏最小二乘（ NIPALS ）算法。
,Principal Component Analysis and Partial Least SquaresPrincipal Component Analysis (PCA) and Partial Least Squares (PLS) are widely used tools. Thi
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基于多元线性回归、偏最小二乘、神经网络、卡尔漫滤波、径向基网络、主成分分析等等的程序。可用于建模和预测。-Based on multiple linear regression, partial least squares, neural networks, Carl diffuse filtering, radial basis networks, and so on principal component analysis procedure. Can be used for modelin
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一个用matlab完成的偏最小二乘法示例-MATLAB Central-Partial-Least-Squares
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System identification with adaptive filter using full and partial-update Recursive-Least-Squares
-System identification with adaptive filter using full and partial-update Recursive-Least-Squares
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Our toolbox currently contains implementations of robust methods for
location and scale estimation, covariance estimation (FAST-MCD), regression (FAST-
LTS, MCD-regression), principal component analysis (RAPCA, ROBPCA), princi-
pal component re
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所谓偏最小二乘法，就是指在做基于最小二乘法的线性回归分析之前，对数据集进行主成分分析降维，下面的源码是没有删减的，GreenSim团队免费提供您使用，转载请注明GreenSim团队（http://blog.sina.com.cn/greensim）。 -The so-called partial least squares method, this means doing the least square method based on linear regression analysis pr
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物理实验数据处理软件,供对偏最小二乘算法感兴趣的朋友参考-Physics Experiment Data Processing Software for Partial Least Squares and interest on the reference to a friend
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偏最小二乘法回归。使用这个方法计算出一组数据的回归方程-Partial least squares regression. Use this method to calculate the regression equation of a set of data
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