• DocumentCode
    2394254
  • Title

    ADC neural modeling

  • Author

    Daponte, A.B. ; Grimaldi, D.

  • fYear
    1995
  • fDate
    24-26 April 1995
  • Firstpage
    789
  • Abstract
    The paper deals with a neural network based approach for A/D converter modeling. This approach is initially developed with reference to an A/D converter mathematical model, allowing the neural modeling to be properly set-up. Subsequently, a neural model of a real A/D converter is identified and validated, highlighting the performance of the proposed approach in terms of ease of the model building and result accuracy
  • Keywords
    Artificial neural networks; Circuit simulation; Computer networks; Electronic mail; IEEE members; Industrial electronics; Industrial engineering; Mathematical model; Neural networks; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference, 1995. IMTC/95. Proceedings. Integrating Intelligent Instrumentation and Control., IEEE
  • Conference_Location
    Waltham, MA, USA
  • Print_ISBN
    0-7803-2615-6
  • Type

    conf

  • DOI
    10.1109/IMTC.1995.515424
  • Filename
    515424
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2394254