• DocumentCode
    2636690
  • Title

    Conditions for robust stability of analog VLSI implementation of neural networks with uncertain circuit parasitics

  • Author

    Devanathan, R. ; Ngee, Tan Han

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
  • fYear
    1991
  • fDate
    18-21 Nov 1991
  • Firstpage
    1879
  • Abstract
    An analog VLSI implementation of neural networks has been modeled in terms of active cell impedance connected to a resistive grid. The resistive grid can be characterized in terms of the nominal linear component and the parasitic component with uncertain parametric values. Necessary and sufficient conditions for the nominal and robust stability of these systems can then be derived
  • Keywords
    VLSI; analogue circuits; neural nets; stability; active cell impedance; analog VLSI; necessary conditions; neural networks; resistive grid; robust stability; sufficient conditions; uncertain circuit parasitics; Circuit stability; Impedance; Neural networks; Neurons; Resistors; Robust stability; Sufficient conditions; Transconductance; Uncertainty; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1991. 1991 IEEE International Joint Conference on
  • Print_ISBN
    0-7803-0227-3
  • Type

    conf

  • DOI
    10.1109/IJCNN.1991.170641
  • Filename
    170641
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2636690