搜索资源列表
GRNN
- 泛化回归神经网络GRNN(generalized regression NN)应用实例，适合学习使用。-Generalized regression neural network GRNN (generalized regression NN) application examples for learning to use.
nn_exmpl_0110
- It is the matlab code about testing if there is multicolinearity in a linear regression model, relating to econometrics
svr
- 79419096svr一维支持向量机回归以及二维支持向量机回归-79419096svr one-dimensional support vector regression and two-dimensional support vector regression
MAR
- 语音分析软件，多变量自动回归模型。主要是用来对语音信号进行长时分析。计算MAR特征-Voice analysis software, multivariate automatic regression model. Is primarily used for voice signal analysis of long. MAR features calculated
SVregression
- In kernel ridge regression we have seen the final solution was not sparse in the variables ® . We will now formulate a regression method that is sparse, i.e. it has the concept of support vectors that determine th
StepwiseRegress
- 逐步法线性回归 C#源码（vs2005工程），得到回归系数、复相关系数、相关系数矩阵等。-Stepwise linear regression C# source code (vs2005 project), the regression coefficient, multiple correlation coefficient, correlation coefficient matrix.
GAsymregression
- Genetic algorithm for symbolic regression
nonlinear_regression_SVM
- 用于在matlab中实现非线性回归的支持向量机svm算法-Used matlab to implement non-linear regression algorithm of support vector machines svm
Multiplelinearregressonanalysisprediction
- 多元线性回归分析预测法针对概率论中的回归预测做了研究，推荐各位大侠阅读-Multiple linear regression analysis prediction for the probability of regression to do the research, recommended reading you heroes
NeuralRBF
- 用matlab编写的RBF神经网络用于分类与回归的程序-Prepared using matlab RBF neural network for classification and regression procedures
FractalChannel
- MT4文件 用于K线线性回归分析，用来进股票的预测分为一元预测-MT4 files for K line linear regression analysis is used to forecast into the stock into a dollar forecast
21
- 用C语言编写多元线性回归方程，写得不好的地方请指教！-Using C language multiple linear regression equation, where poorly written, please advice!
LR_adult
- 基于逻辑回归的分类实验，在UCI数据库的audlt数据集上进行测试-Classification based on logistic regression test, the database in the UCI data set to test audlt
svm
- SVM方法的基本思想是：定义最优线性超平面，并把寻找最优线性超平面的算法归结为求解一个凸规划问题。进而基于Mercer核展开定理，通过非线性映射φ，把样本空间映射到一个高维乃至于无穷维的特征空间（Hilbert空间），使在特征空间中可以应用线性学习机的方法解决样本空间中的高度非线性分类和回归等问题。svm 程序，即支持向量机的代码。-The basic idea of SVM method are: the definition of
RBF
- RBF神经网络用于分类与回归，提供了一个学习神经网络的平台，对大家有很大帮助。-RBF neural network for classification and regression, neural networks provide a learning platform for all of us much help.
RegressionandpredictionLIBSVM
- 用LIBSVM做回归和预测的步骤、函数说明、代码解释等-Regression and prediction using LIBSVM do the steps, function descr iption, code interpretation, etc.
ridgeregression
- This matlab code for estimating the static linear system with Ridge Regression that is written by matlab 7.0. Here we want to estimate the below function: 1 - u^2 + 2*u^3 +u^5 +3*u^7 these are 2 files : without noi
PloynomialsRegression
- 用多项式回归的方法编程实现了从设备相关颜色空间RGB到设备无关颜色空间Lab之间的转换。-Polynomial regression method with programming from the device-dependent RGB color space to device-independent color space conversion between Lab.
compls
- to compares two least-square linear regression
OnlineSVR_Matlab_2006b_Code
- A implementation of support vector regression in matlab.