搜索资源列表
LS_SVMlab
- 最小二乘支持向量机工具箱，学习支持向量机必备工具-Least squares support vector machine toolbox, an indispensable tool for learning support vector machines
classifier
- 用matlab实现Part1. 实现一个k近邻分类器，Part 2.实现一个最小二乘分类器，Part 3.实现一个支持向量机分类器，Part 4.在不同数据集上使用交叉验证选择各个算法的参数-Part1. Achieve a k-nearest neighbor classifier, Part 2. Achieve a least-squares classifier, Part 3. Implement a support vector machine classifier, Part 4.
lssvm_matlab
- 用matlab实现基于时间序列的最小二乘支持向量机预测，代码简单易懂，适合初学者使用-achieve the lssvm regression based on time series using matlab
LSSVMlabv1_8_R2009b_R2011a
- 最小二乘支持向量机LSSVMlabv1_8_R2009b_R2011a-Least squares support vector machines。LSSVMlabv1_8_R2009b_R2011a
LSSVMlabv1_8_R2009b_R2011a
- 最新的最小二乘支持向量机工具箱！希望对大家有新的帮助！非常好用！好多新的功能！-The latest of least squares support vector machine (SVM) toolkit! Hope to have new help! Is very nice! A lot of new features
LSSVMlabv1_8_R2009b_R2011a
- lssvm 最小二乘支持向量机,用于多元非线性回归分析,非线性拟合与预测-Least squares support vector machine for multi-linear regression analysis, nonlinear fitting and prediction
LSSVMlabv1_8_R2009b_R2011a
- matlab LSSVM matlab最小二乘支持向量机工具箱-matlab LSSVM
4
- 最小二乘支持向量机回归分析源代码,LSSVM-Least squares support vector machine regression analysis source code
LSSVMlabv1_8_R2009b_R2011a
- 最小二乘支持向量机工具包,可以应用于回归和分类，也可进行预测-LSSVM Kit
qppkv
- 最小二乘回归分析算法，matlab开发工具箱中的支持向量机，小波包分析提取振动信号中的特征频率。- Least-squares regression analysis algorithm, matlab development toolbox support vector machine, Wavelet packet analysis to extract vibration signal characteristic frequency.
LSSVMlabv1_8_R2009b_R2011a
- 最新(v1.8)MATLAB最小二乘支持向量机工具包(LS_SVMlab)-the latest version of LS_SVMlab
支持向量机故障诊断及控制技术
- 有支持向量机分类和回归的代码，以及最小二乘支持向量机的代码。(support vector machine)
LSSVMlabv1_8_R2009b_R2011a
- 最小二乘支持向量机，很好用，里面有很多子文件，话音大家(Least squares support vector machine, very good use)
LSSVMlabv1_8
- 最小二乘支持向量机matlab工具箱，可用于分类回归预测等。(Least squares support vector machine)
预测
- 最近写关于最小二乘支持向量机的时间序列预测 搜到的一些很有参考性的论文(Some of the most referential papers recently written about the time series of the least squares support vector machine)