搜索资源列表
SVM
- 本程序是 用来计算支持向量机的,完全可用!我自己作过实验!
svm
- 介绍支持向量机SVM介绍的参考文献以及程序源代码，-Introduction of support vector machine SVM introduce references as well as source code,
OnlineSVRCCode
- 在线支持向量机C＋＋程序,程序中包含了应用的例子-Online Support Vector Machine C program, the program contains examples of applications
svm1
- 我写的支持向量机做回归分析程序，下载后，设计样本数据，就可以用-I wrote to do the support vector machine regression analysis procedures, download, design sample data, you can use
winsvm
- 目前的svm(支持向量机)分类算法开源实现如svmlight和svmlib都没有界面，使用不方便。这个程序基于svmlight整合在VC++开发环境。将给VC用户带来极大方便。-Current svm (support vector machine) classification algorithm, such as open source to achieve svmlight and have not svmlib interfac
svm_multiClass
- svm(支持向量机)分类算法本质上是二类分类器，实现多类分类的方法一般是将多类分类看作是多个一对多的二类分类器。本程序就是基于svmlight的svm多类分类器实现。对分类感兴趣的用户请参照。配合中文分词（参见我上传的程序），可实现中文多类分本分类。-svm (support vector machine) classification algorithm is essentially a second-class classifier
SVM_lzb1p0
- 一般支持向量机的回归和分类程序，均可以运行-General support vector machine regression and classification procedures can run
LS-SVMlab1.5aw
- 最小二乘支持向量机的matlab工具包，包括源程序和使用说明-Least squares support vector machines matlab toolkit, including the source and use
libsvm-2.81
- 一个Java实现的支持向量机(含源码),SVM算法比较复杂，不过这个程序看起来比较好懂。-Java realization of a support vector machine (including source code), SVM algorithm is rather complicated, but this process appears to be better understood.
SVM
- 支持向量机用于多分类问题的程序,可以较好地运行.-Support vector machine for multi-classification procedures, can be used to run.
LS-SVM
- 这是《数据挖掘中的新方法——支持向量机》一书的电子版。-This is the
Matlab_SVM
- 使用支持向量机对仿人感知器建模，并给出了其在不规则图形面积测量中的应用实例，附有120幅图片及其面积，前100幅用作训练，后20幅用作检验，图片文件默认路径为C:\MATLAB7\work\P100，即应将文件解压到默认路径C:\MATLAB7\work，使用其他路径只需将程序中的图片路径替换即可。-The use of support vector machine perceptron on humanoid modeling, an
regression
- 支持向量机的SMO算法实现数据拟合训练的基本程序，用c++编写．-SMO support vector machine training algorithm for data fitting realize the basic procedures, using c++ Prepared.
SVMExample
- 支持向量机SVM和核函数的MATLAB程序集-SVM Support Vector Machines and Kernel MATLAB assembly
SVMfenlei
- 经典的支持向量机SVM用于分类的MATLAB程序,可用于辨识,分类和参数优化!-Classical SVM support vector machine for classification of MATLAB procedures, can be used for identification, classification and parameter optimization!
1
- 应用MATLAB编辑的支持向量机的应用程序，能进行预测。-Application of MATLAB support vector machine editing applications, capable of prediction.
lpsvr
- 基于线性规划的回归支持向量机源程序，开发环境Visual C++6.0，控制台程序-Based on linear programming support vector machine regression source code, development environment, Visual C++ 6.0, Console Application
libsvm-2.32
- libsvm 2.32版源码，一个SVM(支持向量机)的源码以及可执行程序-libsvm 2.32 version source code, an SVM (support vector machine) as well as the source of the executable program
libsvm-matlab2.85
- 重要程序,主要是关于支持向量机方面的程序,可供你参考,-Important procedures, mainly on the support vector machine procedures for your reference,
zhichixiangliangji
- 这是MATLAB分析中要用到的支持向量机的程序代码-This is used in MATLAB analysis of support vector machine code