鲁棒最小二乘双支持向量机集成学习算法，对于初学者的理解应用特别好用-Robust least squares double support vector machine ensemble learning algorithm for beginners to understand the application of special good use

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.

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 machine for financial analysis

对目标函数的松弛变量引入一个参数μ，优化基本的最小二乘一类支持向量机算法。同样是解决线性问题，避免了二次规划的复杂问题(A parameter min is introduced into the relaxation variable of the objective function, and the basic least squares support vector machines algorithm is optimized. It also solves the linear pr