• DocumentCode
    1910664
  • Title

    Some qualitative aspects of neural computing circuits

  • Author

    Roska, T.

  • Author_Institution
    Comput. & Autom. Inst. of the Hungarian Acad. of Sci., Budapest, Hungary
  • fYear
    1988
  • fDate
    7-9 Jun 1988
  • Firstpage
    751
  • Abstract
    The unique and stable computed solutions of a neural circuit are considered. It is shown that under reasonable conditions the row-sum dominance and off-diagonal antitonicity of (-T), the feedback connection matrix, are sufficient conditions. A measure for determining the finite physical complexity is introduced and estimated
  • Keywords
    feedback; neural nets; stability criteria; artificial intelligence; feedback connection matrix; finite physical complexity; neural computing circuits; off diagonal antitonicity; off-diagonal antitonicity; row-sum dominance; stable computed solutions; Asymptotic stability; Automation; Circuit stability; Digital-analog conversion; Neurofeedback; Nonlinear circuits; Physics computing; State feedback; Sufficient conditions; Voltage control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1988., IEEE International Symposium on
  • Conference_Location
    Espoo
  • Type

    conf

  • DOI
    10.1109/ISCAS.1988.15034
  • Filename
    15034
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1910664