搜索资源列表
SVM
- 四种支持向量机SVM工具箱的分类与回归算法。MATLAB编写-Four types of support vector machine SVM toolbox classification and regression algorithm. MATLAB prepared
SVM-for-classfication-and-regression
- 用支持向量机(SVM)实现分类与函数回归的源代码。内有实例，依湖芦画瓢即可。-Using support vector machine (SVM) classification and function to achieve the reunification of the source code. There are examples, according to Lake Lo paintings can ladle.
lwr
- 强局部加权回归算法由Cleveland[7]提出,主要利用局部观测数据对欲拟合点进行多项式加权拟合,并用最小二乘法进行估计.它综合了传统的局部多项式拟合,局部加权回归以及具有强鲁棒性的拟合过程 -Strong locally weighted regression algorithm by Cleveland [7] proposed, mainly using local observational data points on the polynomial fitting For wei
backAR
- 二阶自回归信号模型AR（2） 希望能对大家有用 献给大家了-Signal model of second-order autoregressive AR (2) useful for all of us hope that we all have had a dedicated
yuchou2
- 用matlab解决线性回归问题，在约束条件下求解二次回归问题的极小值-Using matlab to solve linear regression problems, in the constraint solving quadratic regression under the condition of the minimum problem
libsvm-mat-2.88-1
- 支持向量机matlab源码，可以针对回归建模进行计算-Support vector machine matlab source, can be calculated against the regression modeling
all_extra28-Jul-2006
- reg_r spider工具箱，含回归预测等函数工具箱-reg_r spider toolbox, including the handover function prediction toolbox
RegressionAnalysis
- matlab 回归分析 解释很详细 是你学习的统计的好工具-matlab regression analysis to explain in great detail is that you learn a good tool for statistical
hgfx1
- matlab的回归算法例程， 包括回归算法-regression algorithm matlab routines, including the handover algorithm
SVM_lzb1p0
- 支持向量机matlab程序 (1) Main_SVC_C.m --- C_SVC二类分类算法 (2) Main_SVC_Nu.m --- Nu_SVC二类分类算法 (3) Main_SVM_One_Class.m --- One-Class支持向量机 (4) Main_SVR_Epsilon.m --- Epsilon_SVR回归算法 (5) Main_SVR_Nu.m --- Nu_SVR回归算法-Support vector machine matlab procedur
NeuralNetwork_BP
- BP网络的应用： BP神经网络用于分类与回归， 使用matlab打开-Application of BP Network: BP neural network for classification and regression, the use of matlab to open
gupiaoyuce
- 使用线性回归的方法对股市短期走势作出预测的程序， 基于matlab， 请大家尝试-Using a linear regression method to predict the trend of the stock market short-term process, based on matlab, please try
rbf
- RBF神经网络用于分类与回归,文件说明： 1、NeuralNetwork_RBF_Classification.m - 分类 2、NeuralNetwork_RBF_Regression.m - 回归-RBF neural network for classification and regression, the document notes: 1, NeuralNetwork_RBF_Classification.m- Category 2, NeuralNetwork_RBF_Re
grnnforexample
- 广义回归神经网络是RBF的一个扩展。但是具体怎么实现却代码很少，本代码是一个grnn很好的学习例子。-Generalized regression neural network is an extension of RBF. But how to achieve specific code but rarely, the code is a good learning example grnn.
Bolasso-feature-selection-prediction
- 这个程序实现了Francis R. Bach的Bolasso算法，用于特征选取和预测。主要用于高纬度问题的特征选取，它使用了带有Bootstrap方法的自助抽样的正则化回归，并使用了Karl Skoglund的lars实现。-This procedure achieved Francis R. Bach s Bolasso algorithms for feature selection and forecasting. The main problem for high-latitude fe
OnlineSVR_Matlab_7.0_2006_CodeManual
- 一个适合进行在线支持向量机回归辨识的Matlab源程序。-Matlab programs for on-line regression identification using Support Vector Machine
svm
- 用MATLAB编写的分类回归程序，通用。并给出了实例对分类效果进行检验。-MATLAB prepared using classification and regression procedures, General. And give examples of the classification results from such a test.
RS reducta priori regression
- 基于粗糙集的知识约简算法和采用回归进行的知识约简表示-Based on Rough Set Knowledge Reduction Algorithm and the use of regression express the knowledge reduction
SVM_luzhenbo
- 支持向量机工具箱，可进行分类，预测等，实现了四种支持向量机工具箱的分类与回归算法，有实例-Support Vector Machine Toolbox, it can conduct classification, prediction and so on, implementation of the four support vector machine toolbox classification and regression algorithm, has examples of
shujunihechazhi
- Matlab的数值拟合和插值方法介绍，内有程序说明和算法介绍。主要对最小二乘，线性回归作了介绍-Matlab Numerical fitting and interpolation methods introduce, within the descr iption of the procedures and algorithms have introduction. Mainly on the least-squares, linear regression was introduced by