Description: 支持向量机非线性回归通用matlab程序
支持向量机和BP神经网络非线性回归之比较研究-SVM nonlinear regression procedures common Matlab support vector machines and artificial neural networks to nonlinear In the Comparative Study Platform: |
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Author:sunwanghu |
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Description: the matlab code of ginisvm - an svm implementation good at probability regression.-the matlab code of ginisvm- an svm implementation good at probability regression. Platform: |
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Author:xia |
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Description: matlab中的ls-svm工具包，是最小二乘支持向量机算法，可用于解决非线性的回归问题。-ls-svm tool in the Matlab package, least squares support vector machine algorithm can be used to solve nonlinear regression problems. Platform: |
Size: 114688 |
Author:王欣 |
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Description: matlab中的标准svm程序源码，用于解决线性的回归问题，不能用于解决非线性，区别于最小二乘支持向量机。-svm program source code, standard Matlab is used to solve linear regression problems, can not be used to solve nonlinear, different from the least squares support vector machine. Platform: |
Size: 2048 |
Author:王欣 |
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Description: 《MATLAB神经网络30个案例分析》中的第14个例子，案例14 SVM神经网络的回归预测分析---上证开盘指数预测。希望对大家有一定的帮助！-The MATLAB neural network analysis of 30 cases of example, 14 cases (14 of SVM neural network predictive regression analysis- Shanghai opened index prediction. Hope to have certain help to everybody!
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Author:杨飞 |
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Description: 一个matlab例程，基于SVM的信息粒化时序回归预测demo，实现了对上证开盘指数变化趋势和变化空间预测-
A matlab routine, regression forecasting demo SVM-based information granulated timing to achieve the opening of the Shanghai index trends and changes in spatial prediction Platform: |
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Author:张竞成 |
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Description: 分类与回归。Matlab的工具箱是围绕一个快速LS-SVM训练和模拟算法。该相应的功能调用可以用于分类以及为函数估计。该功能plotlssvm显示模型的模拟结果，在训练的区域点。-The Matlab toolbox is built around a fast LS-SVM training and simulation algorithm. The
corresponding function calls can be used for classification as well as for function estimation. The
function plotlssvm displays the simulation results of the model in the region of the training
points. Platform: |
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Author:yankee |
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Description: 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 to their applications. LIBSVM has gained wide popularity in machine learning and many other areas. In this article, we present all implementation details of LIBSVM. Issues such as solving SVM optimization problems theoretical convergence multiclass classification probability estimates and parameter selection are discussed in detail.
we show formulations used in LIBSVM: C-support vector classifica-tion (C-SVC), ν-support vector classification (ν-SVC), distribution estimation (one-class SVM), -support vector regression (-SVR), and ν-support vector regression
(ν-SVR). We discuss the implementation of solving quadratic problems Platform: |
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Author:guolei |
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Description: 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.-LIBSVM is a simple, easy to use and fast and efficient SVM pattern recognition and regression package Taiwan University Chih- Jen Lin (Lin Chih-Jen) development and design professor. Platform: |
Size: 17408 |
Author:Sacrt |
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Description: SVM神经网络的回归预测分析---上证指数开盘指数预测，matlab实现非线性回归预测(Regression prediction analysis of SVM neural network -- prediction of Shanghai Stock Index opening index and nonlinear regression prediction by MATLAB) Platform: |
Size: 178176 |
Author:marec
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Search - SVM regression MATLAB