搜索资源列表
mmySVM
- 这是支持向量机的一个程序，可以做回归和分类问题。如果有问题可以和作者联系。-SVM a procedure can be done regression and classification problems. If there's a problem and can contact the author.
LS-SVMlab1.5aw
- 最小二乘支持向量机MATLAB实现源代码，可以用于模式识别以及回归，DEMOCLASS是使用方法示例-least squares support vector machines MATLAB source code, can be used for pattern recognition and regression, DEMOCLASS example is the use of
stepthatusetheLIBSVM
- 介绍了用支持向量机方法做时间序列回归和预测的步骤-introduces the SVM methods regression and time series prediction steps
svm7
- 支持向量机可以处理分类,回归等多种问题.可以取得非常好的效果
svr
- 一维支持向量机回归以及二维支持向量机回归
libsvm-2[1].6
- 支持向量机工具箱一种，主要解决分类和回归等问题，它是在matlab环境下运行的。-A Support Vector Machine Toolbox, mainly to resolve issues such as classification and regression, which is running in the matlab environment.
looms
- 留一模型选择法leave-one-out model selection，适合支持向量机分类和回归时进行参数选择。-looms uses a slightly modified BSVM to perform model selection on binary classification problems. Currently the RBF kernel is supported.
SVM_luzhenbo
- 支持向量机工具箱，包括了二种分类,二种回归,以及一种一类支持向量机算法。 -Support Vector Machine Toolbox, including the two kinds of classification, two kinds of regression, as well as a one-class SVM algorithm.
support-vector-machine
- 支持向量机非线性回归通用matlab程序，本程序使用支持向量机法，实现对数据的非线性回归，核函数的设定和修改在函数内部进行，数据预处理在函数外部进行，简单易懂，希望能对大家有所帮助-Universal non-linear regression support vector machine matlab program, this program uses support vector machine method to achieve non-linear regression of data
SVMMatla1.0
- 该工具箱主要介绍支持向量机的使用过程，包括分类与回归，里面的内容很全面，-The toolbox introduce the process of SVM,including classification and aggression,which is very well.
SVMvccode
- 个vc开发的支持向量机程序，对于初学者很有用,可做回归和分类问题-A vc developed support vector machine procedure is useful for beginners, do regression and classification problems
ZCXLJ
- 支持向量机和BP神经网络都可以用来做非线性回归拟合，但它们的原理是不相同的，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。大量仿真证实，支持向量机的泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。本源码可以用于线性回归、非线性回归、非线性函数拟合、数据建模、预测、分类等多种应用场合-Support vector machines and BP neural network can be used for non-linear regression f
111
- 支持向量回归的研究,作为一个新的理论和方法，支持向量机回归在训练算法和实际应用等方面有诸多值得深入探讨的课题。-Machine learning is based on the data of modern intelligence technology is an important aspect. Statistical Learning Theory (SLT) is a specialized study of the law of machine learning theory of
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
4
- 最小二乘支持向量机回归分析源代码,LSSVM-Least squares support vector machine regression analysis source code
svm
- SVM本身是针对经典的二分类问题提出的，支持向量回归机（Support Vector Regression，SVR）是支持向量在函数回归领域的应用(SVM itself is proposed for the classical two classification problem. Support Vector Regression (SVR) is the application of support vector in the field of function regression)
支持向量机故障诊断及控制技术
- 有支持向量机分类和回归的代码，以及最小二乘支持向量机的代码。(support vector machine)
超球面支持向量机
- 超球支持向量机有一次分类，二次分类，支持向量机回归(Hypersphere support vector machine)
支持向量机算法包
- SVR libsvm-3.1-[FarutoUltimate3.1Mcode](libsvm-3.1-[FarutoUltimate3.1Mcode])
huigui1
- 支持向量机回归，可用于求解可靠性问题，也可用于其他优化。(Support Vector Machine Regression)