China Hunan Provincial Science & Technology Department [2013FJ3154]
机构署名：
本校为第一且通讯机构
院系归属：
电气工程学院
摘要：
The input and output characteristic of thermocouple vacuum gauge exhibits high nonlinearity, which comes from the gauges' inherent physical peculiarities and causes big error in measurement results. There is a need to make compensation of the nonlinearity for accurate measurement. In this article, a least squares support vector machine (LS-SVM) model is developed to function as a compensator with which to accomplish this task. Particle swarm optimization (PSO) algorithm is introduced to search optimal parameters combination of the LS-SVM model....
