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LSSVMlabv1_8_R2006a_R2009a
- 基于LS-SVM的多分类器的工具箱，版本的1.8的。该工具箱很好用，里面的分类我用过，效果比SVM强-LS-SVM classifier 1.8 version of the toolkit
svmSim
- 支持向量机(SVM)与最小二乘支持向量机(LS-SVM)的核函数选择-Support vector machine (SVM) and least squares support vector machine (LS-SVM) kernel function selection
LSSVMlabv1_8_R2009b_R2011a
- 这是一个ls-svm分类算法，来自于原作者编写。-This is an ls-svm classification algorithm, written the original author.
LS-SVM1
- 最小二乘支持向量机的工具箱程序，附可运行的SVM回归的例子，还有工具箱使用说明。-Least Squares Support Vector Machine Toolbox program, you can run the example attached SVM regression, as well as kit instructions.
LS-SVM-lab-Toolbox-Users-Guide
- 最小二乘支持向量机的指导手册，初学者必备，帮助你快速入手程序-lssvm guide
demomodel
- This demo explains the use of the advanced object oriented interface model. The model is the generic object which collects all relevant signals, parameters, options and functions related to an application of the LS-SVM.
demofun
- This a simple demo, solving a simple regression task using LS-SVMlab. A dataset is constructed in the right formatting. The data are represented as matrices where each row contains one datapoint. In order to make an LS-S
LibSVM
- 最小二乘支持向量机的一个程序,应用在机床控制- a program of LS-SVM for controlling
SFLA-LSSVM
- 自己编写的 混洗蛙跳算法优化最小二乘支持向量机参数 把文件里的数据、LSSVM模型更换，就可以移植-written by Son.Y.M Shuffled frog leaping algorithm to optimize the parameters of LS-SVM The data in the file, LSSVM model replacement, you can transplant
psolssvm1
- ls-svm 最小二乘支持向量机数值分析与训练，包括蚁群算法和lssvm1.6安装-ls-svm including psolsssvm and svm1.6package
Classification-and-regression
- 分类与回归。Matlab的工具箱是围绕一个快速LS-SVM训练和模拟算法。该相应的功能调用可以用于分类以及为函数估计。该功能plotlssvm显示模型的模拟结果，在训练的区域点。-The Matlab toolbox is built around a fast LS-SVM training and simulation algorithm. The corresponding function calls can be used
PSOlssvm
- 粒子群优化参数的LSSVM，并对啤酒数据进行分类-PSO LS SVM parameters, data classification and beer
PEMFC-based-on-lssvm
- an on-line predictive control based on least squares support vector machine (LS-SVM) is proposed. In order to carry out on-line learning, the training data threshold is set through discussing the theory of LS-SV
LSSVM-weights-3.20
- an on-line predictive control based on least squares support vector machine (LS-SVM) is proposed. In order to carry out on-line learning, the training data threshold is set through discussing the theory of LS-SV
morlet
- Morlet Kernal Function For LS SVM For Classifaction
lssvm-gongjuxiang
- ls-svm工具箱,用于加载文件以进行支持向量建立模型，进行仿真或预测-ls-svm toolbox
genetic-algorithm
- 文章利用支持向量机进行财务危机模型类别化设定及样本类别化训练，获得基于SVM的财务危机 在风险程度差异化基础上的检验样本，由对应的检验样本形成分类别预警。研究基于风险预测类别化的线性 转化获得各类型层的训练样本支持向量，并向样本集进行基于遗传算法粗糙集属性约简的决策知识表达系统 预测层级化处理和最小二乘SVM（LS-SVM）的财务危机预测-Using genetic algorithm and support vector
PSO-LSSVM
- 利用改进PSO算法对LS-SVM进行参数优化，参数 和 的取值范围分别为 和 ，粒子种群数量为 25，迭代次数为 100，惯性权重因子 和 取0.9和0.1，学习因子 和 均取2。-The parameters of PS-SVM are optimized by using the improved PSO algorithm. The range of parameters is 25, the number of particle
PSO-LSSVM-CLASS
- 经过优化得到的参数组，利用优化的参数构建LS-SVM模型，然后使用训练样本对其进行训练。 利用训练后的LS-SVM对测试样本进行分类，-The optimized parameters are used to construct the LS-SVM model with optimized parameters, and then trained using training samples. Using the traine
LSSVMlabv1_8_R2009b_R2011a
- 最小二乘支持向量机，功能（实现回归预测和分类）(least squares support vector machine)