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libsvm-2.81
- Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It can solve C-SVM classification, nu-SVM classification, one-class-SVM, epsilon-SVM regression, and nu-SVM regression. It also provides an automatic
svm
- libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It solves C-SVM classification, nu-SVM classification, one-class-SVM, epsilon-SVM regression, and nu-SVM regression. It also provides an automatic mo
LS-SVMlab15aw.rar
- 这是一个很好的支持向量机的工具包，有回归、分类、寻优等功能。,This is a very good tool for support vector machine package, there is regression, classification, finding excellent features.
libsvm_setup
- 这是台湾大学林智仁(Lin Chih-Jen)副教授等人开发的SVM模式识别与回归的软件包，该软件可以解决C-SVM分类、-SVM分类、-SVM回归和-SVM回归等问题，包括基于一对一算法的多类模式识别问题。-This is the National Taiwan University, Lin Zhiren (Lin Chih-Jen), associate professor, who developed SVM pattern recognition and regression of t
Regression_SVM_SteveGunn
- SVM的回归算法。使用时需按照要处理数据特点选定参数。-SVM regression algorithm. Want to use when processing data in accordance with the characteristics of the selected parameters.
Main_SVR_Epsilon
- svm Main_SVR_Epsilon 用于svm回归的 在matlab中运用 -svm regression svm Main_SVR_Epsilon for use in matlab
01imp_accord-svm-source
- The sample application is able to perform both Classification and Regression using Support Vector Machines. It can read Excel spreadsheets and determines the task to be performed depending on the number of the columns in the sheet. If the input table
SVM-KMExample
- SVM向量机MATLAB编程实例，其中涵盖了one-against-one、one-against-all分类，回归等功能-Vector machine SVM MATLAB programming examples, which covers the one-against-one, one-against-all classification, regression and other functions
SVM-REGRESSION
- 一篇关于支持向量机回归算法的研究与应用，较详细的介绍了有关支持向量机的原理和使用方法。-intrudce the principle of SVM regression and the method of using it.
SVM-PREDICT
- SVM神经网络的信息粒化时序回归预测----上证指数开盘指数变化趋势和变化空间预测-Information Granular SVM neural network time series regression of the Shanghai Composite Index opened---- Index forecast trends and changes in space
Matlab-svm-BP-compare
- 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。-SVM and BP neural networks, although non-linear regr
SVM
- SVM神经网络的回归预测分析---上证开盘指数预测-SVM regression neural network analysis of evidence on the opening index forecast---
SVM--regression-analysis
- 一段完整的SVM神经网络的回归预测上证指数开盘指数变化的程序，提供有数据，绝对值得你拥有 完整的SVM神经网络的回归预测上证指数开盘指数变化，提供有数据，绝对值得你拥有 -A complete SVM neural network regression prediction of Shanghai composite index opened index changes in the procedure, provides data, definitely worth has a comp
svm-good
- SVM神经网络的回归预测分析---上证开盘指数预测-SVM Regression analysis of the neural network--- permit opening index forecast
SVM-regression-forecasting
- 支持向量机除了可以进行分类预测还可以进行回归预测，源代码为使用支持向量进行回归预测。-In addition to SVM classification can also be predicted regression prediction, the source code for the use of support vector regression to predict.
svm-regression-to-predicte
- 案例14 SVM神经网络的回归预测分析 -上证开盘指数预测-Case 14 SVM regression neural network predictive analysis - Shanghai Composite Index opened forecast
Regression
- 利用SVM进行回归分析，内含测试数据和代码(Using SVM for regression analysis, containing test data and code)
SVM工具箱
- 四种SVM工具箱的分类与回归算法LS_SVMlab、OSU_SVM3.00、stprtool\svm、SVM_SteveGunn(Classification and regression algorithm of four kinds of SVM toolbox LS_SVMlab,OSU_SVM3.00,stprtool\svm,SVM_SteveGunn)
SVM
- SVM(Support Vector Machine)指的是支持向量机，是常见的一种判别方法。在机器学习领域，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。(It is a common discriminant method. In machine learning, it is a supervised learning model, usually used for pattern recognition, classification and regression an
SVM
- SVM(Support Vector Machine)指的是支持向量机，是常见的一种判别方法。在机器学习领域，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。(SVM (Support Vector Machine) refers to support vector machines, which is a common method of discrimination. In the field of machine learning, it is a supervised l