搜索资源列表
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- 用matlab实现偏最小二乘算法,其中包含一个例子的源代码。-Partial least squares algorithm using matlab
Partial-least-squares-
- 数学建模中基于matlab的偏最小二乘回归分析算法-Mathematical modeling matlab-based partial least squares regression analysis algorithm
bipls
- 后向偏最小二乘方法matlab的实现，完全是自己参照公式编的哦-After the partial least squares method matlab realize, is entirely their own formulas reference to the Oh
PLS_Toolbox21
- 偏最小二乘工具箱2012,主要包含线性与非线性函数；具有很强的数值计算功能-matlab tool BOX
NEWPLS
- 关于偏最小二乘在近红外光谱数据建模中的简单应用-Simple application on partial least squares in the near-infrared spectral data modeling
plsr1
- 偏最小二乘回归模型，处理光谱数据的有效模型-Effective partial least squares regression model, processing spectral data
a
- 偏最小二乘法的分析，偏最小二乘算法在MATLAB中的实现-Partial least squares analysis, and partial least squares algorithm in MATLAB
moni
- 做国赛模拟12年葡萄酒评价问题，自己写的全部问题代码，包括T检验，偏最小二乘分析，典型相关分析，神经网络以及理想评价算法-12 years Wine evaluation problem of Chinese race simulation, all write their own code, including T test, partial least squares analysis, canonical correlation analysis, neural network and t
pls
- 偏最小二乘PLS的matlab代码实现,以及一个实例，适合初学者学习使用-patial least square coded via matlab
PLS
- 偏最小二乘回归的通用程序，自己设置参数后即可运行。-The general procedure of partial least squares regression, can set their own parameters after operation.
Axis_PCA-and-PLS
- 通过主成分分析和偏最小二乘分析，然后画出数据的PCA主轴和PLS主轴-Principal component analysis and partial least squares analysis, and then draw the PCA and PLS spindle axis data
kenstone
- 用于划分训练集及预测集样本数，可用于偏最小二乘，支持向量机等训练集预测集的划分-ks pls svm
pianzuixiaoercheng
- 偏最小二乘程序,快速拟合数据，等到一个比较理想的估计值。-Partial least squares procedure, fast fit the data, until a more satisfactory estimate.
PLS
- 用VC++ 实现的PLS（偏最小二乘算法），对算法效率要求不高的可以参考-VC++ achieved with PLS (Partial Least Squares), less demanding on the efficiency of the algorithm can refer
PLS-regression
- 王惠文－（book）偏最小二乘回归方法及应用1 -Wang Huiwen- (book) and application of partial least squares regression method 1
PLS
- 偏最小二乘回归的源代码，可直接调用，注释较详细，初学者一看懂-Partial least squares regression of the source code can be called directly, more detailed comments, beginners to understand
fz
- matlab进行偏最小二乘的四种分组方法-Four grouping method of partial least squares matlab
pls
- 偏最小二乘(PLSR) 分别求出样品集光谱矩阵和样品组分矩阵的主成分矩阵,将这两个矩阵相关联,求其线性关系,用所建立的线性函数来预测未知样品。 -Partial least squares (PLSR) The principal component matrix samples were calculated in the spectral matrix and sample matrix, the two matrix associated with the linear
pls
- 单因变量偏最小二乘回归matlab程序 程序尚不完善，固定提取了3个主成分，没有做寻求最佳主成分个数；没有做交叉有效性检验 -Single dependent variable and partial least squares regression matlab The program is not perfect, the fixed extract 3 principal components, do not seek the best number of principa
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- 它主要研究的是多因变量对多自变量的回归建模，特别当各变量内部高度线性相关时，用偏最小二乘回归法更有效。另外，偏最小二乘回归较好地解决了样本个数少于变量个数等问题。 偏最小二乘法是集主成分分析、典型相关分析和多元线性回归分析3种分析方法的优点于一身。它与主成分分析法都试图提取出反映数据变异的最大信息，但主成分分析法只考虑一个自变量矩阵，而偏最小二乘法还有一个“响应”矩阵，因此具有预测功能。-It is mainly a result of the study is a multi-variab