• DocumentCode
    1744993
  • Title

    Hardware implementation of a CNN for analog simulation of reaction-diffusion equations

  • Author

    Bonaiuto, V. ; Maffucci, A. ; Miano ; Salerno, M. ; Sargeni, F. ; Serra, P. ; Isone, C.V.

  • Author_Institution
    Dipt. di Ingegneria Elettronica, Rome Univ., Italy
  • Volume
    3
  • fYear
    2001
  • fDate
    6-9 May 2001
  • Firstpage
    485
  • Abstract
    In this paper the hardware implementation is discussed of a cellular nonlinear network (CNN) for analog simulation of reaction-diffusion partial differential equations. The elementary cell consists of the classic nonlinear circuit typical in these CNNs, except for the characteristic of the nonlinear resistor; that is chosen to be non-monotone. The control laws describing the contribution of the neighbor cells depend both on the currents and the voltages of the capacitors
  • Keywords
    analogue processing circuits; analogue simulation; cellular neural nets; neural chips; partial differential equations; CNN; analog simulation; hardware implementation; neighbor cells; nonmonotone characteristic; partial differential equations; reaction-diffusion equations; Boundary conditions; Capacitors; Cellular neural networks; Circuit simulation; Hardware; Nonlinear circuits; Partial differential equations; Resistors; Steady-state; Voltage control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2001. ISCAS 2001. The 2001 IEEE International Symposium on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    0-7803-6685-9
  • Type

    conf

  • DOI
    10.1109/ISCAS.2001.921353
  • Filename
    921353