• DocumentCode
    2871039
  • Title

    Global stability of Hopfield neural networks

  • Author

    Yujian, Li

  • Author_Institution
    Lab. of Artificial Neural Network, Acad. Sinica, Beijing, China
  • Volume
    2
  • fYear
    1998
  • fDate
    1998
  • Firstpage
    1299
  • Abstract
    This paper gives a condition for the global stability of a continuous-time Hopfield neural network when its activation function may not be monotonically increasing. The global stability is proven by constructing a new energy function
  • Keywords
    Hopfield neural nets; continuous time systems; stability; Hopfield neural networks; activation function; continuous-time HNN; energy function; global stability; Artificial neural networks; Associative memory; Circuits and systems; Hopfield neural networks; Laboratories; Neural networks; Neurons; Stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-4325-5
  • Type

    conf

  • DOI
    10.1109/ICOSP.1998.770857
  • Filename
    770857
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2871039