基于支持向量机的非线性系统辨识研究

Study of Nonlinear System Identification Based on Support Vector Machine

研究了基于支持向量机的非线性系统辨识方法并进行了仿真试验,用交叉验证的方法进行支持向量机参数选择。有效的仿真结果表明支持向量机是非线性系统辨识的一种非常有效的方法。

Nonlinear system identification based on SVM （Support Vator Machine） was discussed and corresponding simulation was implemented. Cross validation method was used to select hyperparameter of SVM model. Good result indicated that SVM is effective tool for nonlinear system identification.