Optics and Precision Engineering, Volume. 14, Issue 5, 896(2006)

Nonlinear correction of sensors based on neural network model

TIAN She-ping... ZHAO Yang*, WEI Hong-yu and WANG Zhi-wu |Show fewer author(s)
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    References(6)

    [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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    Paper Information

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    Received: Feb. 16, 2006

    Accepted: --

    Published Online: Feb. 28, 2010

    The Author Email: Yang ZHAO (snout@sjtu.edu.cn)

    DOI:

    CSTR:32186.14.

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