• DocumentCode
    2286614
  • Title

    PDE-DPCNN: a CNN chip for analogue simulations of RD equations

  • Author

    Salerno, Mario ; Sargeni, Fausto ; Bonaiuto, Vincenzo

  • Author_Institution
    Dept. of Electron. Eng., Univ. of Rome "Tor Vergata", Italy
  • fYear
    2002
  • fDate
    22-24 Jul 2002
  • Firstpage
    363
  • Lastpage
    368
  • Abstract
    In this paper a hardware implementation of a PDE analogue simulator is presented. In particular, this circuit is able to manage reaction-diffusion partial differential equations by using a cellular nonlinear network (CNN).
  • Keywords
    analogue computer circuits; cellular neural nets; chemistry computing; neural chips; partial differential equations; physics computing; reaction-diffusion systems; CNN chip; PDE analogue simulator; PDE-DPCNN; cellular nonlinear network; reaction-diffusion partial differential equations; Cellular networks; Cellular neural networks; Circuit simulation; Differential equations; Finite difference methods; Finite element methods; Hardware; Nonlinear equations; Partial differential equations; Piecewise linear approximation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cellular Neural Networks and Their Applications, 2002. (CNNA 2002). Proceedings of the 2002 7th IEEE International Workshop on
  • Print_ISBN
    981-238-121-X
  • Type

    conf

  • DOI
    10.1109/CNNA.2002.1035071
  • Filename
    1035071