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LS-SVMlab1.5aw
- 最小二乘支持向量机MATLAB实现源代码，可以用于模式识别以及回归，DEMOCLASS是使用方法示例-least squares support vector machines MATLAB source code, can be used for pattern recognition and regression, DEMOCLASS example is the use of
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
- matlab LSSVM matlab最小二乘支持向量机工具箱-matlab LSSVM
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
- 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)