搜索资源列表
pls
- 这个程序是基于MATLAB实现的偏最小二乘算法-MATLAB implementation is based on partial least squares algorithm
PLSmodel
- 偏最小二乘（PLS）算法建模，并提供一个实例分析，提供正常过程监控Q统计量和T统计量。-Partial Least Squares (PLS) algorithm modeling, and provides a case study to provide normal process monitoring Q statistic and T statistics.
PLStest
- 偏最小二乘（PLS）算法建模，并提供一个实例分析，提供异常过程监控Q统计量和T统计量。检测出故障。-Partial Least Squares (PLS) algorithm modeling, and provides a case study to provide process monitoring abnormal Q statistic and T statistics. To detect the fault.
PLS_3
- 利用matlab编程实现偏最小二乘算法，可完成辨识模型的参数-partial least square
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
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
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
8
- 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
Plsregress
- 偏最小二乘回归分析，matlab源程序，说明详细，应用简单-Plsregress matlab
pls
- 多元统计回归，偏最小二乘，适用于数据挖掘-Multivariate Statistics