Study On Support Vector Machine Based On Nonlinear Correction Of Double Parallel Beam Weighing Transducer

摘要：

　　According to the non-linear problem caused by temperature and circuit interference during the detection process of the double parallel beam weighing transducer,a nonlinear compensation method is proposed based on the support vector machine theory.The nonlinear characteristics of measured values of sensor are analyzed,and the support vector machine (SVM)inverse model is established while the displacement parameters as the output and voltage parameter as input.The effectiveness of SVM inverse model is verified by the simulation.Compared with the RBF neural network model,the SVM model is efficiency.The average error of the model prediction is 0.027g mm,so it has good linearity,and nonlinear compensation of the double Parallel beam weighing transducer is realized.

关键词： Weighing Sensor Non-linearity Correction Support vector machine(SVM) Fuzzy reasoning Adaptive The nonlinear compensation

作者: Lihua Zhao Keqi Wang Yonghua Xie

作者单位: Northeast Forestry University, Harbin150040, Heilongjiang China

会议类型: 国际会议

会议名称: the Second International Conference on Frontiers of Manufacturing and Design Science(第二届制造与设计科学国际会议(ICFMD 2011))

会议地点: 台湾

会议语种:英文

页码: 2299-2303

在线出版日期: 2011-12-11（万方平台首次上网日期，不代表论文的发表时间）