• DocumentCode
    989856
  • Title

    Functional testing for cellular neural networks

  • Author

    Willis, J. ; Pineda de Gyvez, J.

  • Author_Institution
    Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
  • Volume
    29
  • Issue
    25
  • fYear
    1993
  • Firstpage
    2206
  • Lastpage
    2208
  • Abstract
    A novel approach to test the functional behaviour of cellular neural networks (CNNs) is proposed. The method attains 100% stuck-at fault coverage regardless of the array size without any extra hardware for its implementation. The Letter discusses the new fault model, presents the algorithmic procedures and shows simulated testing results.
  • Keywords
    cellular arrays; logic testing; neural nets; CNNs; algorithmic procedures; analogue cellular nonlinear dynamic processor array; cellular neural networks; functional testing; simulated testing results; stuck-at fault coverage;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19931482
  • Filename
    250363
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=989856