摘要
针对人工神经网络等传统方法在解决虚拟仪器系统方面的不足,提出了解决虚拟仪器系统非线性校正的支持向量机方法。该算法是在接受客观非线性事实的基础上,通过采用支持向量机来建立起虚拟仪器的传递特性,从而实现非线性校正。将该校正模型应用于一压力测量虚拟仪器,取得了满意的效果。
In order to overcome the shortcoming of artificial neural networks and other conventional methods, support vector machine （SVM） method to solve the problem on the non-linearity of virtual instrument system is put forwarrd Accepting objective non-linear fact, this algorithm proposed realize non-linearity calibration of virtual instrument system by establishing transmission characteristics on the basis of using support vector machine. Moreover, this calibration method is also applied to a virtual instrument of measuring pressure and the satisfactory result is obtained which proves this algorithm is effective.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2006年第5期761-763,共3页
Systems Engineering and Electronics
关键词
虚拟仪器
非线性校正
支持向量机
压力传感器
virtual instrument
nonlinear calibration
support vector machine
sensor of pressure
