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《Instrument Standardization & Metrology》 2007-01
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BP Neural Network Temperature Nonlinear Errors Correction of Pressure Sensor Based on LabView

Zhu Binfeng Xu Guiyun Li Junmin Qi Juanyan (College of Electromechanical Engineering, China University of mining and Technology, Xuzhou 221008)  
The input and output of pressure sensors are almost nonlinear, and they are always influenced by environment. The LabVIEW software and DAQ (data acquisition) of multi-parameters, nonlinear errors correction of pressure sensor based on BP neural network, which includes its model, algorithm and realized techniques, was presented. The general principles of temperature nonlinear correction of virtual instrument system were discussed, too. The results of computer simulations illustrated that the performance of sensors is improved highly. And the construction of the neural network is simple and the precision is good, it has the value to be applied.
【CateGory Index】: TH703
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【References】
Chinese Journal Full-text Database 1 Hits
1 FAN Xiao-yu,WANG Yu-bao,LU Guo-wei,ZHANG Lin-lin(College of Information Science and Engineering YanShan University,Qinhuangdao Hebei 066004,China);Temperature Compensation System of Pressure Sensor Based on Genetic and Simulated Annealing Algorithm[J];Chinese Journal of Sensors and Actuators;2008-09
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