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Description: 一元线性回归算法，计算斜率并输出结果。主要采用最小二乘法。-Linear regression algorithm, calculation of slope and output. Mainly uses the least square method.
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Size: 21504 |
Author: 黄瑞生 |
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Description: 这里实现了四种SVM工具箱的分类与回归算法-Here to realize the four SVM toolbox Classification and regression algorithm
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Size: 2706432 |
Author: 李晋博 |
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Description: matlab的统计回归分析，很全面的数码库，能够解觉大部分回归问题。-matlab statistical regression analysis, it is a comprehensive digital library, able to sleep most of the reunification problem solution.
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Size: 534528 |
Author: 张云 |
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Description: 基于matlab的bp神经网络的回归算法-Based on the bp neural network matlab regression algorithm
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Size: 1024 |
Author: star |
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Description: 一款进行多元线性回归分析软件.可以完成多元回归模型的参数估计和统计检验,可以通过Excel获取外部数据,并且能够把计算结果保存成xls文件，计算结果的差方图-Conducted a multiple linear regression analysis software. Can complete multiple regression model parameters estimates and statistical test, you can access external data through Excel and be able to save the results into the calculation xls files, calculating the difference between the results of Quadrant
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Size: 9303040 |
Author: linlin |
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Description: 数据回归计算logistic_regression-Data regression calculation logistic_regression
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Size: 3072 |
Author: caojunyi |
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Description: 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 practice. For the latter part it is assumed (but not
absolutely necessary) that the reader is already familiar with these
methods. It also assumes you have had some preliminary experience
with linear/matrix algebra.
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Size: 270336 |
Author: 郭大 |
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Description: 这里实现了基于四种SVM工具箱的分类与回归算法:
1、工具箱：LS_SVMlab
Classification_LS_SVMlab.m - 多类分类
Regression_LS_SVMlab.m - 函数拟合
2、工具箱：OSU_SVM3.00
Classification_OSU_SVM.m - 多类分类
3、工具箱：stprtool\svm
Classification_stprtool.m - 多类分类
4、工具箱：SVM_SteveGunn
Classification_SVM_SteveGunn.m - 二类分类
Regression_SVM_SteveGunn.m - 函数拟合
更详细的相关函数说明请通过help命令查看！-Here the realization of the four SVM toolbox based on the classification and regression algorithm: 1, Toolbox: LS_SVMlabClassification_LS_SVMlab.m- Multiclass Classification Regression_LS_SVMlab.m- function fitting 2, the toolbox: OSU_SVM3.00Classification_OSU_SVM.m- Multiclass Classification 3, Toolbox: stprtoolsvmClassification_stprtool.m- Multiclass Classification 4 toolbox: SVM_SteveGunnClassification_SVM_SteveGunn.m- II Category Regression_SVM_SteveGunn.m- function fitting a more detailed explanation of the correlation function through the help command to view!
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Size: 2740224 |
Author: 杨愚根 |
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Description: 首先介绍多元线性回归公式（即最小二乘法计算公式），然后进行VB编程，实现多次曲线拟合算法。-First introduced multiple linear regression formula (ie, least-squares method to calculate the formula), and then proceed to VB programming, curve fitting algorithm to achieve on many occasions.
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Size: 2048 |
Author: Tranlynn |
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Description: 回归测试程序 回归测试程序 回归测试程序 回归测试程序-Regression testing procedures for regression testing procedures for regression testing procedures for regression testing procedures for regression testing procedures for regression testing procedures
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Size: 353280 |
Author: roselu |
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Description: svm classification and regression code
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Size: 144384 |
Author: dzh |
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Description: The program implements three large-margin thresholded ensemble
algorithms for ordinal regression. It includes an improved RankBoost
algorithm, the ORBoost-LR algorithm, and the ORBoost-All algorithm. -The program implements three large-margin thresholded ensemblealgorithms for ordinal regression. It includes an improved RankBoostalgorithm, the ORBoost-LR algorithm, and the ORBoost-All algorithm.
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Size: 13312 |
Author: xandp |
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Description: 本文件夹中包含了多种回归算法，用matlab编写-This folder contains a variety of regression algorithm using matlab to prepare
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Size: 251904 |
Author: 刘明花 |
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Description: 支持向量机初学者可以看看,用于可以用于C-SVM分类、?-SVM分类、?-SVM回归和?-SVM回归等问题
-Support Vector Machine beginners can see that can be used for C-SVM classification,?-SVM classification,?-SVM regression and?-SVM regression problem
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Size: 827392 |
Author: 无为 |
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Description: 一个多元回归程序及源码,简单易用
原创-A multi-regression procedures and source, easy-to-use original
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Size: 207872 |
Author: 梁富强 |
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Description: 支持向量机的SMO算法实现数据拟合训练的基本程序，用c++编写．-SMO support vector machine training algorithm for data fitting realize the basic procedures, using c++ Prepared.
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Size: 294912 |
Author: 江南 |
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Description: Deubechies小波核下的杂波估计效果以及残留噪声的高斯性和独立性检验实验结果演示程序。-Wavelet Deubechies lower-estimated the effect of clutter as well as the residual of the Gaussian noise and the independence of test results demo.
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Size: 23552 |
Author: 马欣欣 |
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Description: Matlab 命令总结
散点图
一元线性回归
多元线性回归
非线性回归
其它命令-Matlab command scatter summed up one linear regression multiple linear regression non-linear regression of other orders
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Size: 23552 |
Author: John |
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Description: svr(support vector regression),即支持向量回归，是人工神经网络的一种学习算法。可用于数据预测等。
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Size: 1024 |
Author: 王珏 |
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Description: !逐步回归分析程序：
! M：输入变量，M=N+1，其中N为自变量的个数；M包括的因变量个数
! K：输入变量，观测点数；
! F1：引入因子时显著性的F-分布值；
! F2：剔除因子时显著性的F-分布值；
! XX：存放自变量和因变量的平均值；
! B：存放回归系数；
! V：存放偏回归平方和和残差平方和Q；
! S：存放回归系数的标准偏差和估计的标准偏差；
! C：存放复相关系数；
! F：存放F-检验值；-! Stepwise regression analysis procedure:! M: input variables, M = N+ 1, in which N is the number of independent variables M, including the number of the dependent variable! K: input variables, observation points ! F1: when to introduce a significant factor of the F-distribution value ! F2: remove significant factor when the F-distribution value ! XX: storage self-variables and the dependent variable on average ! B: regression coefficient storage ! V: store partial regression sum of squares and residual sum of squares Q ! S: storage of the standard deviation of regression coefficients and the estimated standard deviation ! C: storage of multiple correlation coefficient ! F: storing F-test value
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Size: 2048 |
Author: wang hanting |
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