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[AI-NN-PR2SVR

Description: 支持向量机回归的matlab版本,里面包含高斯核函数等一系列常用的核函数。(Support vector regression matlab version, which contains the Gauss kernel function and a series of commonly used kernel functions.)
Platform: | Size: 2017280 | Author: 2016114003 | Hits:

[matlabSVR_Lib

Description: 运用支持向量进行回归预测,包含对数据的训练和回归值得预测(The use of support vector regression prediction, including training and regression of data, is worth prediction)
Platform: | Size: 43008 | Author: 谦谦君子 | Hits:

[Graph Recognizelibsvm-3.22

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,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识别问题。(LIBSVM National Taiwan University Lin Zhiren (Lin Chih-Jen) is a simple, easy to use SVM pattern recognition and regression and effective software development and design Professor package, he not only provides the compiled in Windows series system executable file, also provides the source code, easy to modify and improve, in other operating system. The application of the software; parameters involved in the regulation of SVM is relatively small, with a lot of the default parameters, these default parameters can solve many problems; and provides interactive test (Cross Validation) function. This software can solve the problem of C-SVM, V -SVM, e -SVR and V -SVR, which is based on a multi class pattern recognition algorithm on a problem.)
Platform: | Size: 791552 | Author: 黄小豆 | Hits:

[Communication-Mobile2016.09.08GWO

Description: 用灰狼算法优化的支持回归机,对参数c,g进行寻优(GWO,SVr[dataset_scale,ps] = mapminmax(dataset',0,1); dataset_scale = dataset_scale'; train_wine = dataset_scale(1:mtrain,:); test_wine = dataset_scale( (mtrain+1):(mtrain+mtest),: );)
Platform: | Size: 1558528 | Author: 袁庆祝 | Hits:

[matlabLSSVMlabv1_8_R2009b_R2011a

Description: 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)
Platform: | Size: 120832 | Author: ganxiong | Hits:

[AI-NN-PRLIBSVM

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,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识别问题。(libsvm toolbox of matlab)
Platform: | Size: 3275776 | Author: woodzzw | Hits:

[Other亦思专业验证码识别系统1.8可发布组件包(DIY版)

Description: 组件包文件列表: GetCodeText.dll --编程接口库 Reco.svr --识别引擎 RecoLib.tc --样本库(此文使用亦思专业验证码识别系统1.8演示版根据要识别的网站自行制作,不能修改文件名) 编程接口: LPTSTR GetCodeText(); //识别验证码,返回识别结果 使用方法: 1、现使用亦思专业验证码识别系统1.8演示版根据要识别验证码的网站制作一个“单项目的”RecoLib.tc文件; 2、把此RecoLib.tc文件连同GetCodeText.dll、Reco.svr拷贝到你开发的软件主程序的同一个文件夹下; 3、主程序中调用唯一的接口函数GetCodeText()即可进行目标网站的验证码识别了。 常见问题: 问:我开发的主程序中显示的验证码图片与识别结果总是不一样,是为啥? 答:是因为识别组件再次刷新了网站的验证码并根据新的验证码进行了识别,识别的结果可直接用于网页提交,不影响使用。(Component package file list: GetCodeText.dll - Programming Interface Library Reco.svr -- recognition engine RecoLib.tc - Sample Library (this article is also used for professional verification code identification system 1.8 demo version, according to the identification of the site to make their own, can not modify the file name) Programming interface: LPTSTR (GetCodeText); / / identification code, returns the result of recognition)
Platform: | Size: 1890304 | Author: fy50022 | Hits:

[matlabSVRGWO

Description: 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)
Platform: | Size: 2048 | Author: ldldld | Hits:

[matlabsvr

Description: suport vector regresion in matlab
Platform: | Size: 4904960 | Author: majidjef | Hits:

[Windows Developsvr

Description: socket服务器程序,用Visual C++编写,可直接运行。(Socket server program, written with Visual C++, can be run directly.)
Platform: | Size: 147456 | Author: 烟台良仔 | Hits:

[AI-NN-PRChemSVM(xdowns.com)

Description: 支持向量机小程序,可进行分类和预测,无需输入代码(SVM contains SVC and SVR without inputting codes)
Platform: | Size: 3121152 | Author: 张帅XUST | Hits:

[simulation modeling参考文献

Description: 支持向量机算法,libsvm,可以建模仿真(SVR libsvm-3.1-[FarutoUltimate3.1Mcode])
Platform: | Size: 83982336 | Author: 全信 | Hits:

[Other支持向量机算法包

Description: SVR libsvm-3.1-[FarutoUltimate3.1Mcode](libsvm-3.1-[FarutoUltimate3.1Mcode])
Platform: | Size: 1201152 | Author: 全信 | Hits:

[AI-NN-PRlibsvm.net-master

Description: SVR学习资源,用以建立C#引用的SVR(SVR learning resources to build C# referenced SVR)
Platform: | Size: 11091968 | Author: jjackcy | Hits:

[Data structscoatrol

Description: 在网上看到的一个在线SVR(支持向量机回归)的C++代码,希望对大家有帮助()
Platform: | Size: 27648 | Author: uqke%2D516572 | Hits:

[DataMiningga-svm

Description: 用遗传算法优化支持向量回归机C、g、p参数(Optimization of C, G, P parameters of support vector regression machine by genetic algorithm)
Platform: | Size: 1024 | Author: wentong | Hits:

[AI-NN-PRSVR

Description: 该代码属于支持向量回归技术的新实现,直接调用,简单易操作,训练和测试分开(The code belongs to the new implementation of support vector regression technology, direct call, simple and easy to operate, training and testing separate)
Platform: | Size: 79872 | Author: tinaaa | Hits:

[Graph program937779

Description: 在网上看到的一个在线SVR(支持向量机回归)的C++代码,希望对大家有帮助()
Platform: | Size: 27648 | Author: Eugghe | Hits:

[Othersvr_trainer

Description: SVR trainer in matlab, support vector machine
Platform: | Size: 2048 | Author: hodakh | Hits:

[matlablibsvm-3.22

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,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识别问题。(LIBSVM National Taiwan University Lin Zhiren (Lin Chih-Jen) is a simple, easy to use SVM pattern recognition and regression and effective software development and design Professor package, he not only provides the compiled in Windows series system executable file, also provides the source code, easy to modify and improve, in other operating system. The application of the software; parameters involved in the regulation of SVM is relatively small, with a lot of the default parameters, these default parameters can solve many problems; and provides interactive test (Cross Validation) function. This software can solve the problem of C-SVM, V -SVM, e -SVR and V -SVR, which is based on a multi class pattern recognition algorithm on a problem.)
Platform: | Size: 1154048 | Author: incubus | Hits:
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