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Support-vector-machine
- matlab软件实现的支持向量机（SVM）的分类与回归。-Support vector machine matlab software (SVM) for classification and regression.
SVM
- LISVM使用说明，lisvm工具箱, 该工具箱包括了二种分类,二种回归,以及一种一类支持向量机算法- LISVM instructions, LISVM toolbox,The toolkit includes two kinds of classification, two kinds of regression, and a kind of support vector machine (SVM) algorithm
Support-Vector-Machine
- 非线性回归用支持向量机通用MATLAB源码-Support Vector Machine for Nonlinear Regression
libsvm2.82
- 这是一个支持向量机回归的模拟程序，可以对较少的样本进行处理-This is a support vector machine regression simulation program, fewer samples can be processed
SVMcgForRegress
- 支持向量机回归模型，可应用于经济、金融时间序列预测！-SVM Model
MATLAB-svm
- 支持向量机在分类和回归中的应用（MATLAB）-Application for svm in classification and regression
SVM-Regress
- 基于SVM(支持向量机）的回归算法，很好用-Based on SVM (SVM) regression algorithm, very good use
LSSVMlabv1_8_R2009b_R2011a
- lssvm 最小二乘支持向量机,用于多元非线性回归分析,非线性拟合与预测-Least squares support vector machine for multi-linear regression analysis, nonlinear fitting and prediction
test
- 在matlab环境下应用支持向量机做回归的使用实例-In the matlab environment support vector machine regression using examples do
SVM
- 在机器学习领域，支持向量机SVM(Support Vector Machine）是一个有监督的学习模型，通常用来进行模式识别、分类、以及回归分析。-In the field of machine learning, support vector machine SVM (Support Vector Machine) is a supervised learning model, typically used for pattern recognition, classification, an
SVM-huiguisuanfa
- 运用支持向量机算SVM法进行回归拟合计算，很好用的算法-Support vector machine SVM method to calculate regression calculation, the good algorithm
support_vetor_machine
- 实现支持向量机的具体算法，包含一些支持向量机（svm）的程序例子，有分类也有回归的，分类有二维分类、还有多维分类的-Program example to achieve the specific algorithm support vector machines, including some of the support vector machine (svm), there is also the return of classification, classification of two
StatLSSVM
- 支持向量机工具箱By Kris De Brabanter,标准的非参数回归，健壮的回归，一些调优标准等经典交叉验证，较好的交互性-The StatLSSVM toolbox is written so that only a few lines of code are necessary in order to perform standard nonparametric regression, regression with correlated errors and robust regre
SVMNR
- 使用支持向量机进行非线性回归，得到非线性函数y=f(x1,x2,…,xn)的支持向量解析式， 求解二次规划时调用了优化工具箱的quadprog函数。-Using support vector machine for nonlinear regression, nonlinear function y=f (X1,X2,...,Xn)-support vector analysis, When solving the quadratic programming Optimization T
classification-Python
- python实现感知器、贝叶斯分类、决策树分类、K最近邻法、逻辑回归、支持向量机-Python implementation of perceptron, Bias classification, decision tree classification, K nearest neighbor method, logic regression, support vector machine
prosvm
- 基于粒子群算法优化的支持向量机分类算法，该算法可完成数据分类、回归分析的功能。-Support vector machine classification algorithm based on particle swarm optimization algorithm, the algorithm can accomplish the function of data classification and regression analysis.
svm-matlab-
- 支持向量机的源代码，可以实现分类和回归分析。-ctions on Intelligent Systems and Technology ABSTRACT LIBSVM is a library for Support Vector Machines (SVMs). We have been actively developing this package since the year 2000. The goal is to help users to easily apply SVM t
libsvm-3.20
- 2015最新最好用的支持向量机工具包。LIBSVM是台湾大学林智仁(Lin Chih-Jen)教授等开发设计的一个简单、易于使用和快速有效的SVM模式识别与回归的软件包-The best svm toolbox
SVM-regression
- 对于大盘指数的有效预测可以为从整体上观测股市的变化提供强有力的信息，所以对于上证指数的预测具有很大意义。本代码用Matlab对1990.12.20-2009.8.19-每天的开盘指数进行支持向量机回归分析，拟合效果较好。-For effectively predict the market index can provide a strong message to the observed changes in the stock market as a whole, so the foreca
libsvm-for-sa
- libsvm进行回归分析，利用sa函数产生原始数据，给出回归和预测结果，并画出了支持向量-LIBSVM FOR REGRESSION