基于LS-SVR的回归曲线建模

Modeling Regression Curve on LS-SVR

在分析标准支持向量回归算法和最小二乘支持向量分类机的基础上,将最小二乘支持向量机用于解决回归问题,建立回归曲线模型,并进行了实验仿真研究。

Algorithms of standard support vector regression and classifiers of least squares support vector machine are discussed in the paper. Then least squares support vector machine is applied to modeling regression curve. Our experimental results on simulate data demonstrate that it is feasible and effective.