基于支持向量机的传感器动态建模方法

A Dynamic Modeling Method Based on Support Vector Machine

传感器动态建模是测量领域的重要研究方向,本文介绍了一种基于支持向量机的传感器动态建模新方法。支持向量机是基于统计学习理论的新一代机器学习技术,它有效地解决了小样本学习问题,因此该方法对样本数量没有特殊的要求。最后,实验证明了该动态建模方法有效。

The research of dynamic modeling of transducers is an important aspect in the fields of measuring technique. In this paper, a new method is introduced for dynamic modeling of transducers by using support vector machine （SVM）. Support vector machine is a new generation machine learning technique based on the statistical learning theory. SVM can solve small-sample learning problems effectively, so this method has no special demand for numbers of samples, The experimental results show that this dynamic modeling method is effective.