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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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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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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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最小二乘法多元线性回归的matlab实现-Least squares linear regression of the matlab implementation
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偏最小二乘法PLS广泛应用于很多领域。这个程序包提供了一个函数,使用非线性迭代偏最小二乘法NIPALS算法,实现PLS回归。同时包含NIPALS算法的教程-PLS PLS is widely used in many areas. This package provides a function, use of non-linear iterative partial least squares algorithm NIPALS achieve PLS regression. NIPALS al
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自己编写的偏最小二乘回归模型matlab程序,附带详细的说明。-Matlab partial least squares regression procedures, with detailed instructions.
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matlab下偏最小二乘回归模型
交叉有效性验证,及奇异点发现
-matlab partial least-squares regression model of cross-validation, and the singular points found
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强局部加权回归算法由Cleveland[7]提出,主要利用局部观测数据对欲拟合点进行多项式加权拟合,并用最小二乘法进行估计.它综合了传统的局部多项式拟合,局部加权回归以及具有强鲁棒性的拟合过程
-Strong locally weighted regression algorithm by Cleveland [7] proposed, mainly using local observational data points on the polynomial fitting For wei
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Matlab的数值拟合和插值方法介绍,内有程序说明和算法介绍。主要对最小二乘,线性回归作了介绍-Matlab Numerical fitting and interpolation methods introduce, within the descr iption of the procedures and algorithms have introduction. Mainly on the least-squares, linear regression was introduced by
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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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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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一段matlab下的偏最小二乘回归代码,希望对大家有用.-Under a partial least-squares regression matlab code, and want to be useful to everyone.
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一个很好的基于matlab的pls工具箱,可以进多线性数据的的主成分分析,偏最小二乘回归等。-A good toolbox based on matlab' s pls, can enter the data more linear principal component analysis, partial least squares regression.
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算法大全 全书分30章及2附录(在MATLAB中实现)对常用数学算法进行汇总介绍。
主要包括:线性规划、非线性规划、动态规划、图与网络、排队论、对策论、层次分析法、插值与拟合、数据的统计描述和分析、方差分析、回归分析、微分方程建模、稳定状态模型、常微分方程解法、差分方程模型、马氏链模型、变分法模型、神经网络模型、偏微分方程的数值解、目标规划、模糊数值模型、现代优化算法、时间序列模型、存贮论、经济与金融的优化问题、生产与服务运作管理中的优化问题、灰色系统理论及其应用、多元分析、偏最小二乘回归以
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最小二乘拟合,最小二乘拟合直线算法,使用matlab实现最小二乘拟合直线。-Least square fitting, least squares fitting straight line method, using the least squares fitting straight line matlab implementation.
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最小二乘法回归,用该程序实现,简单易懂,操作方便,值得使用-Least squares regression, to achieve the program, easy to understand, easy to operate, it is worth to use
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Calculation crosshairs diffraction image at different distances, Least-squares regression analysis algorithm, Using matlab written narrowband noise occurs.
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Conducted through virtual array DOA estimation, Least-squares regression analysis algorithm, Between two images showing the relative circumstances of each pixel.
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偏最小二乘回归在matlap中的实现,源代码,有交叉效应(The implementation of partial least squares regression in matlap, source code, cross effect)
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