• DocumentCode
    1044196
  • Title

    Stability regions of recurrent type neural networks

  • Author

    Ciliz, K.

  • Author_Institution
    Dept. of Electr. Eng., Bogazici Univ., Istanbul, Turkey
  • Volume
    28
  • Issue
    11
  • fYear
    1992
  • fDate
    5/21/1992 12:00:00 AM
  • Firstpage
    1022
  • Lastpage
    1024
  • Abstract
    The stability regions of the stable equilibria of the Hopfield type recurrent neural networks are investigated. The dimensions of these regions directly determine how much partial information is needed for an imperfect pattern to approach a desired pattern. Therefore estimation of such regions is instrumental in the analysis of analogue recurrent neural networks.
  • Keywords
    neural nets; stability; Hopfield type recurrent neural networks; analogue recurrent neural networks; desired pattern; imperfect pattern; partial information; stability regions; stable equilibria;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19920649
  • Filename
    274699
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1044196