Aiming at the problem of difficult system identification modeling for control system, an identification modeling system was designed for control system by using support vector regression (SVR).
针对非线性控制系统辨识建模较为困难的问题，利用回归型支持向量机(SVR)设计了一例控制系统的辨识建模系统。
An error correction method for three axial fluxgate sensor based on support vector regression (SVR) is proposed.
提出了一种基于支持向量回归机(SVR)的三轴磁通门传感器误差修正方法。
A modeling method for nonlinear dynamic system based on Support Vector Regression (SVR) was proposed in this paper.
提出一种基于支持向量回归机(SVR)的非线性动态系统建模方法。
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