搜索资源列表
PLSmodel
- 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 previ
pls_1.1-0
- 应用程序 偏最小二乘法回归分析 pls matlab-application partial least squares regression analysis pls Matlab
pls_EVA01
- 最小二乘回归程序 并且举例测试 希望对大家有帮助-least squares regression procedures for testing and we hope to help
pls_1.1-0
- 应用程序 偏最小二乘法回归分析 pls matlab-application partial least squares regression analysis pls Matlab
denoise_kpca
- 最小二乘支持向量机岭回归函数,可以进行预测和分类-least squares support vector machine regression function Ridge, forecasts and classification
PLS_Ref_Manual_3_5
- Matlab PLS toolbox 3.5 manual PLS_Toolbox is a collection of essential and advanced chemometric routines that work within the MATLAB™ computational environment1. It contains the tools required by chemical engi
pls1
- 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
LIBRA_19jun09
- 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, ROBPC
sift-0.9.16.tar
- sift, good code! Please read your package and describe it at least 40 bytes in English.
Pls_tool-tem
- pls算法工具箱。偏最小二乘回归≈多元线性回归分析＋典型相关分析＋主成分分析 -pls algorithm toolbox. Partial least-squares regression ≈ multiple linear regression analysis, canonical correlation analysis++ Principal component analysis
Complete-collection-of-algorithm
- 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
alglib-3.2.0.cpp
- ALGLIB is a cross-platform numerical analysis and data processing library. It supports several programming languages (C++, C#, Pascal, VBA) and several operating systems (Windows, Linux, Solaris). ALGLIB features include
Unary-Linear-Regression-Model
- 最小二乘法拟合一元线性回归函数，并进行显著性和拟合优度检验。-Least squares fit linear regression functions, and for significance and goodness of fit test.
least_least_squares_regression
- 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.
Linear-Least-Squares--and-model-test
- 最小二乘回归算法以及其模型检验和参数检验并自动逐步检验。-linear least squares regression，model and parameters testing
Partial-least-squares
- 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
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
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
least-squares
- 最小二乘法的数据仿真实验，主要用于数字建模仿真的回归性分析。-least squares data simulation,primarily for digital modeling and simulation of regression analysis.
code
- 对于单输入单输出的系统（Single input single output，SISO）常采用最小二乘方法辨识系统的参数。最小二乘参数估计是一个经典的方法，概念简明，适应范围广，来源于数理统计的回归分析，它能提供一个在最小方差意义上与实验数据最好拟合的模型，在一些情况下，可得到与极大似然法一样好的统计效果，并能很方便地与其它辨识算法建立关系。在一定条件下，最小二乘法参数估计法有最佳的统计特性，即一致的、无偏的和有效的结果。本代码主要关于