• DocumentCode
    2617717
  • Title

    Artificial neural network for testing analog circuits

  • Author

    Starzyk, Janusz A. ; El-Gamal, Mohamed A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Ohio Univ., Athens, OH, USA
  • fYear
    1990
  • fDate
    1-3 May 1990
  • Firstpage
    1851
  • Abstract
    A method for testing analog circuits with the aid of neural networks is described. It takes advantage of the high parallel information processing capabilities of these networks. The testing problem is efficiently formulated in a neural-network context. A back-propagation neural network and a functional link net have been trained to synthesize the complicated mapping from the circuit measurements space to the circuit elements space. A testing example is presented to demonstrate the proposed method
  • Keywords
    analogue circuits; learning systems; neural nets; analog circuits; back-propagation; circuit elements space; circuit measurements space; mapping; neural-network context; parallel information processing capabilities; testing; Analog circuits; Artificial neural networks; Circuit faults; Circuit synthesis; Circuit testing; Extraterrestrial measurements; Fault diagnosis; Information processing; Network synthesis; Neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1990., IEEE International Symposium on
  • Conference_Location
    New Orleans, LA
  • Type

    conf

  • DOI
    10.1109/ISCAS.1990.112022
  • Filename
    112022