Optics and Precision Engineering, Volume. 14, Issue 5, 896(2006)
Nonlinear correction of sensors based on neural network model
[1] [1] XU K J,CHEN R B,ZHANG C W.Common techniques in automatic measurement and instrument[M].Beijing:Tsing Hua University Press.2000:26-27
[2] [2] KU C C,LEE K Y.Diagonal recurrent neural network for dynamic systems control[J].IEEE Trans.on NN 1995,6(1):144-155
[3] [3] DAI X Z,YIN M,WANG Q.A novel dynamic compensating method based on ANN inverse system for sensors[J].Chinese Journal of Scientific Instrument,2004,25(5):593-594
[4] [4] HOU L Q,TONG W G,HE T X.The static errors comprehensive correcting method of sensors based on radial basis function neural network[J].Chinese Journal of Sensors and Actuators,2004,12(4):643-645
[5] [5] WANG Y J,TU J.The control of neural network[M].Beijing:Mechanic Industrial Publishing Company,1999:1-10
[6] [6] LJUNG L.System identification:theory for the user[M].Beijing:Tsinghua University Press,2002:363-368
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TIAN She-ping, ZHAO Yang, WEI Hong-yu, WANG Zhi-wu. Nonlinear correction of sensors based on neural network model[J]. Optics and Precision Engineering, 2006, 14(5): 896
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Received: Feb. 16, 2006
Accepted: --
Published Online: Feb. 28, 2010
The Author Email: Yang ZHAO (snout@sjtu.edu.cn)
CSTR:32186.14.