• DocumentCode
    2639296
  • Title

    Dynamical properties of higher order random neural networks

  • Author

    Miyajima, Hiromi ; Ma, Lixin ; Suwa, Hiroyuki

  • Author_Institution
    Kagoshima Univ., Japan
  • fYear
    1996
  • fDate
    16-19 Nov. 1996
  • Firstpage
    430
  • Lastpage
    431
  • Abstract
    The authors have previously shown dynamical properties-dynamics of the activities for states-for higher order random neural networks, which use the weighted sum of products of input variables, with the digital state {1-,1} model. The paper describes dynamical properties for higher order random neural networks with the analog state models and the digital state (0,1) model.
  • Keywords
    neural nets; random processes; stochastic systems; analog state models; digital state model; dynamical properties; higher order random neural networks; input variables; weighted product sum; Computer networks; Distributed processing; Input variables; Neural networks; Neurodynamics; Stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 1996., Proceedings Eighth IEEE International Conference on
  • ISSN
    1082-3409
  • Print_ISBN
    0-8186-7686-7
  • Type

    conf

  • DOI
    10.1109/TAI.1996.560743
  • Filename
    560743
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2639296