The Neural Network Method for Non-linear Correction of the Thermal Resistance Transducer

摘要：

For the purpose of better application, the nonlinear correction of the transducer is very important. The soft computing methods which include the neural network linearization correction method and linear interpolation method are put forward to realize the nonlinear correction for the transducer. The principles, algorithms and realization of these methods are discussed, and nonlinear correction experiments by means of the two kinds of soft computing methods were done. Through the experiments, it is proved that the soft computing methods are able to realize the nonlinear correction, and the neural networks method is more effective and accurate than the linear interpolation method.

作者: W He J H Lan Y X Yin Z H Zhang

作者单位: Department of Measurement and Control Technologies, School of Information Engineering, University of Science and TechnologyBeijing, Beijing, 100083, China

会议类型: 国际会议

会议名称: 第四届仪器科学与技术国际会议( 4th International Symposium on Instrumentation and Science and Tcchnology)

会议地点: 哈尔滨

会议语种:英文

页码: 207-211

在线出版日期: 2006-08-08（万方平台首次上网日期，不代表论文的发表时间）