搜索资源列表
waveletsvm_longchuan
- 可以用于预测的小波分解下的支持向量回归机-wavelet svm for predict
image_noise_assessment
- 图像噪声评估,通过BIQI算法对图像进行特征提取,然后使用支持向量回归分析对特征进行训练,得到评估模型-image noise asseeement
MALAB_SVM
- 支持向量回归程序,用于近似模型建模,样本识别-svm, support vector machine,for metamodel
chpp3A10.1007p2F11527503_31
- epsilon-huber支持向量回归逐步推导以及详细证明,对深入理解SVR以及后续的代码编写过程有帮助。-epsilon-huber SVR gradual derivation and detailed proof of the SVR-depth understanding of the process and the subsequent coding help.
svm
- 利用林智仁教授的libsvm工具箱实现支持向量回归预测的例子,包括训练及预测过程-Professor Lin Zhiren use of libsvm toolbox support vector regression prediction examples, including training and prediction process
Optimization
- (成品)果蝇优化支持向量回归在陆生来台就读意愿的研究-Study on the optimal support vector regression (Cheng Pin) for the study of the students willingness to study in Taiwan
SVR
- 这个是用SMO算法做的支持向量回归程序,语言是JAVA-This is done using the SMO support vector regression algorithm, language is JAVA
Support-Vector-Classification
- 支持向量分类机,可以对数据进行分类,也可以在此基础上改为支持向量回归机-Support Vector Classification
SVR
- 支持向量回归是一种重要的预测技术,通过实现支持向量回归可以预测未来数据-support vector regression is an important prediction technique,we can predict future data by implementing support vector regression
svr-kernel-function-version
- 用matlab实现了支持向量回归,并且使用了核函数,对于各种维度的数据均可使用-Using matlab to achieve an SVR, and uses kernel functions for the various dimensions of the data can be used
LSSVMlabv1_8_R2006a_R2009a
- 多输入多输出最小二乘支持向量机,多输入多输出最小二乘支持向量回归机,-lssvm,Multi-output least-squares support vector regression machines
LSSVMlabv1_8_R2009b_R2011a
- 支持向量机回归 SVR LSSVR 回归插值 【机器学习基础】支持向量回归(Support Vector Machine Regression SVR LSSVR Regression Interpolation [Machine Learning Basics] Support Vector Regression)
LIBSVM
- 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,他不但提供了编译好的可在Windows系列系统的执行文件,还提供了源代码,方便改进、修改以及在其它操作系统上应用;该软件对SVM所涉及的参数调节相对比较少,提供了很多的默认参数,利用这些默认参数可以解决很多问题;并提供了交互检验(Cross Validation)的功能。该软件可以解决C-SVM、ν-SVM、ε-SVR和ν-SVR等问题,包括基于一对一算法的多类模式
foa-svr
- 基于果蝇的算法优化支持向量回归的matlab程序,包括txt版本和matlab中m文件(Matlab algorithm based on fruit fly algorithm optimized support vector regression, including the txt version and Matlab m file)
SVRGWO
- 一种混合算法,基于灰狼算法优化支持向量回归(A hybrid algorithm ,based on Grey Wolf algorithm to optimize support vector regression)
libsvm-java
- 支持向量回归机的Java代码 可以进行预测(It is the Java code of the support vector regression machine .It can predict unknown data.)
svm
- 支持向量机由Vapnik首先提出,像多层感知器网络和径向基函数网络一样,支持向量机可用于模式分类和非线性回归,该程序主要实现svm的分类和回归功能。(SVM was first proposed by Vapnik. Like multilayer sensor network and radial basis function network, SVM can be used for pattern classification and non-linear regression. The p
svr
- 基于支持向量机SVM原理,引入惩罚系数,在libsvm3.14安装包基础上实现了支持向量回归matlab编程(Based on the SVM principle of support vector machine, the penalty coefficient is introduced, and support vector regression matlab programming is implemented on the basis of libsvm3.14 installatio
libsvm-3.21
- SVM工具箱,里面有安装说明和使用方法,非常实用,可用作回归分类。(SVM toolbox, there are installation instructions and use method, very practical, can be used as a regression classification)
10526349 (2)
- 使用粒子群算法优化支持向量回归,实现预测功能(Support Vector Regression Using Particle Swarm Optimization)