Nonlinear Compensation Method based on Data for Increasing Absolute Measurement Precision of FID Signal

Author(s):  
Chao Tan ◽  
Liang Xin ◽  
Haoran Chen ◽  
Long Yang
2018 ◽  
Vol 51 (31) ◽  
pp. 154-157
Author(s):  
Qiang Wang ◽  
Baiyu Xin ◽  
Pengyuan Sun ◽  
Jialing Li ◽  
Qifang Liu

2012 ◽  
Vol 220-223 ◽  
pp. 1843-1847
Author(s):  
Nan Lan Wang ◽  
Ming Shan Cai

Aiming to solve the problems in the non-linearity of thermistor temperature transducer, a compensate model based on neural network (NN) is proposed. The basic idea is using Fourier series as the basic functions of NN,the output of transducer as input samples of NN and the temperature as the expectation output of NN. The output of NN is used to approximate to the measured temperature by adjusting the weights. The results show the proposed method is effective in raising accuracy.


2013 ◽  
Vol 33 (4) ◽  
pp. 0412003
Author(s):  
何宇航 He Yuhang ◽  
柴立群 Chai Liqun ◽  
陈波 Chen Bo ◽  
李强 Li Qiang ◽  
魏小红 Wei Xiaohong ◽  
...  

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