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
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;
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
DOI :
10.1109/CNNA.2002.1035071
