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LS-SVMlab1.5aw
- SVM支持向量机 里面包含一个教程，包括支持向量机的原理，也可以直接看接口函数直接调用-SVM support vector machine which contains a tutorial, including Support Vector Machine principle, can also look directly interface function directly ca
LS-SVM
- 这是《数据挖掘中的新方法——支持向量机》一书的电子版。
MYGASVM
- simple GASVM for LS-SVM
LS-SVMlab1.5
- 一个国外大学开发的SVM工具包，有英文的使用说明。
CSRC_windows_LS-SVMlab1.5.tar
- 不错的SVM实现算法，采用的是LS-SVM算法，这是C版本，还有一个MATLAB版本-good SVM algorithm, using the LS-SVM, which is C version, a version of MATLAB
LS_SVM最小二乘支持向量机Matlab源码
- 自编的最小二乘支持向量机Matlab代码，主要用于非线性回归
LS—SVM
- 最小二乘支持向量机
lssvmlab.ps
- 最小二乘支撑向量机matlab版-least squares Support Vector Machine Matlab version
svm_v0.55beta
- 最新的支持向量机工具箱，有了它会很方便 1. Find time to write a proper list of things to do! 2. Documentation. 3. Support Vector Regression. 4. Automated model selection. REFERENCES ========== [1] V.N. Vapnik, "The Nature of Statistical Lea
lssvm
- 很好的软件包，试试看，比libsvm有很多优点，我用过-good package, and see what happens, libsvm have a lot of strengths, I used
QPSO
- 全局收敛的PSO算法,可用于智能运算开发-Global convergence of the PSO algorithm can be used for the development of intelligent computing
ls-svm1
- 用于matlab7.1中神经网络工具箱的最小二乘支持向量机程序。-Neural network toolbox for matlab7.1 least squares support vector machine procedure.
LS-SVM-modele-and-effect
- 最小二乘支持向量机（LS-VSM）的模板及其仿真效果，希望对你有所帮助-Least squares support vector machine (LS-VSM) template and- simulation effect, hope to be helped somewhat to you
SVM
- 介绍了LS-SVMlab Toolbox工具箱的使用，并给出了SVM的编程例子。-Introduce the LS-SVMlab Toolbox and some SVM Programming examples.
LS-SVMlab1.5
- LS-svm 支持向量机的分类程序，支持多分类。-svm code_ECOC.m code_MOC.m code_OneVsAll.m code_OneVsOne.m
LS-SVM
- 主要叙述在matlab环境下熟悉对svm的操作以及svm的主要特性包括分类和回归-The main narrative in the matlab environment familiar with the operation of the SVM and the main features include SVM classification and regression
LS-SVMLab-v1.7(R2006a-R2009a)
- 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.
LS-SVMlab1.5
- 一个lm的svm工具箱，可以很好的进行分类，具体使用可以看m文件-A lm of svm toolbox, can be well classified, the specific use of the file can be seen m
lssvm
- 最小二乘支持向量机回归，四个插入数据分别为训练输入、训练输出、测试输入、测试输出。工具包+程序(Least squares support vector regression (SVM), the four inserted data are training input, training output, test input and test output)