• Optics and Precision Engineering
  • Vol. 14, Issue 5, 896 (2006)
TIAN She-ping, ZHAO Yang*, WEI Hong-yu, and WANG Zhi-wu
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  • [in Chinese]
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    DOI: Cite this Article
    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 Copy Citation Text show less
    References

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    [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] 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] 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] WANG Y J,TU J.The control of neural network[M].Beijing:Mechanic Industrial Publishing Company,1999:1-10

    [6] LJUNG L.System identification:theory for the user[M].Beijing:Tsinghua University Press,2002:363-368

    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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