• DocumentCode
    554036
  • Title

    Nonlinear compensation of capacitance weighing sensors based on Neural Networks with Orthonormal Functions

  • Author

    Li-ying Xu ; Li-Jun Li

  • Author_Institution
    Changsha Univ. of Sci. & Technol., Changsha, China
  • Volume
    2
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    795
  • Lastpage
    798
  • Abstract
    The relationship between output voltage and the loading of the capacitance weighing sensor is nonlinear. To obtain accurate measurement, it is necessary to compensate the nonlinearity. A nonlinear compensation method based on Neural Networks with Orthonormal Functions is proposed in this paper. The convergence of the neural network algorithm is researched. The result shows that the method proposed has high accurate. Therefore, the method proposed is effective and may be used for other applications.
  • Keywords
    capacitance measurement; capacitive sensors; computerised instrumentation; neural nets; accurate measurement; neural network algorithm; nonlinear capacitance weighing sensors compensation; orthonormal functions; Biological neural networks; Capacitance; Capacitive sensors; Convergence; Neurons; Sensor phenomena and characterization; Orthonormal Functions; capacitance weighing sensor; neural network; nonlinear compensation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2011 Seventh International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2157-9555
  • Print_ISBN
    978-1-4244-9950-2
  • Type

    conf

  • DOI
    10.1109/ICNC.2011.6022165
  • Filename
    6022165