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EX11_Predictia_Moto_fuzzy
- Regression analysis method based on fuzzy extension of belief function theory.
webcat
- 这是一个100 ％纯Java库，您可以使用适用于N元 分析技术的过程分为文本文件。 该计划包括几个不同的分类算法， namelly 支持向量机，贝叶斯Logistic回归，神经网络分类和文本压缩 算法。如支持向量机和贝叶斯Logistic回归，一个 “一对一” 用于多类分类。更详细的说明这些学习算法和可用的选项，请提供的javadocs 。-It is a 100 pure Java library that you can use to apply N-Gr
LogOn
- c#实现线性回归预测,线性回归时一个有用的技术，本文展示了一种带权重的自回归模型-Linear regression is a useful technique for representing observed data by a mathematical equation This article presents a C# implementation of a weighted linear regression c sharp AR auto regression predictio
SolidWasteManagement
- 运用多元线性回归方法预测城市生活垃圾的产量及管理-Multiple linear regression
boosting-survey
- Boosting is a general method for improving the accuracy of any given learning algorithm. Focusing primarily on the AdaBoost algorithm, this chapter overviews some of the recent work on boosting including analyses of AdaBoost’s training error an
Matlab
- Matlab数据统计和分析的程序，包含下面所列的多种算法的 MultiLineReg 用线性回归法估计一个因变量与多个自变量之间的线性关系 PolyReg 用多项式回归法估计一个因变量与一个自变量之间的多项式关系 CompPoly2Reg 用二次完全式回归法估计一个因变量与两个自变量之间的关系 CollectAnaly 用最短距离算法的系统聚类对样本进行聚类 DistgshAnalysis 用Fisher两类判别法对样本进行分类 MainAnalysis 对样本进行主成分
4
- MATLAB程序， 半参数线性回归模型的最小二乘核估计 半参数线性回归模型的最小二乘正交序列估计。-MATLAB program, semi-parametric linear regression model of least squares kernel estimation Semiparametric least squares linear regression model orthogonal sequence estimation.
multiplelinearregression
- 多元线性回归的C++源码，在VC6.0上可直接运行！-Multiple Linear Regression C++ source code, can be directly run in VC6.0!
junit
- JUnit是由 Erich Gamma 和 Kent Beck 编写的一个回归测试框架（regression testing framework）。如何快速使用junit-JUnit by Erich Gamma and Kent Beck prepared a regression testing framework (regression testing framework). How to quickly use the junit
NeuralNetwork_RBF
- RBF神经网络用于分类与回归，非常实用，强烈建议下载-RBF neural network for classification and regression, very practical, it is strongly recommended to download
svm_perf
- SVMstruct is a Support Vector Machine (SVM) algorithm for predicting multivariate or structured outputs. It performs supervised learning by approximating a mapping h: X --> Y using labeled training examples (x1,y1), ..., (xn,yn). Unlike reg
20070205154609396
- 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 th
CH9
- 9.1 随机样本分析irhis.c 9.2 一元线性回归分析isqt1.c 9.3 多元线性回归分析isqt2.c 9.4 逐步回归分析isqt3.c 9.5 半对数数据相关ilog1.c 9.6 对数数据相关ilog2.c-9.1 random sample analysis irhis.c 9.2 linear regression analysis isqt1.c 9.3 Multiple Linear Regression Analysis isqt2.c 9.4 s
Multipleregressionanalysis
- 多元回归分析代码 可以做用于多种实际应用 用于各种预测分析 聚类分析代码-Multiple regression analysis code can be done for a variety of practical application of cluster analysis for a variety of predictive analysis code
SVMNR
- 支持向量机和BP神经网络虽然都可以用来做非线性回归，但它们所基于的理论基础不同，回归的机理也不相同。支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。为了验证这种观点，本文编写了支持向量机非线性回归的通用Matlab程序和基于神经网络工具箱的BP神经网络仿真模块，仿真结果证实，支持向量机做非线性回归不仅泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。 -Support Vector Machine and BP neural network, ev
weka-3-6-1
- Weka是一个超强功能的machine learning开发包-Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, clas
GMM-GMR-v1.2
- GMM-GMR is a set of Matlab functions to train a Gaussian Mixture Model (GMM) and retrieve generalized data through Gaussian Mixture Regression (GMR). It allows to encode efficiently any dataset in Gaussian Mixture Model (GMM) through the use of an Ex
Linear_Regression_Program
- linear regression algorithm
regression
- Regression to find equation from several data given through a survey.
SVR
- Support vector regression code