Title :
Reaction-diffusion CNN chip. I. IC implementation
Author :
Arena, P. ; Branciforte, M. ; Bernardo, G. Di ; Lavorgna, M. ; Occhipin, L.
Author_Institution :
DEES, Catania Univ., Italy
Abstract :
Many works have proved the capability of CNN architecture to reproduce complex phenomena described through partial differential equations (PDEs). This array of simple nonlinear systems called cells, for their analog and spatiotemporal distributed method of processing signals, are considered a powerful tool to generate real-time solutions of nonlinear PDEs. A two-layer 2D CNN is able to solve particular PDEs, so called Reaction-Diffusion Equations. This particular topology of CNN has been called RD-CNN. A silicon implementation of this architecture is presented
Keywords :
cellular neural nets; neural chips; partial differential equations; reaction-diffusion systems; IC implementation; RD-CNN; nonlinear systems; partial differential equations; reaction-diffusion CNN chip; real-time solutions; spatiotemporal distributed method; two-layer 2D CNN; Cellular neural networks; Distributed power generation; Nonlinear equations; Nonlinear systems; Partial differential equations; Power generation; Real time systems; Signal generators; Signal processing; Spatiotemporal phenomena;
Conference_Titel :
Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on
Conference_Location :
Geneva
Print_ISBN :
0-7803-5482-6
DOI :
10.1109/ISCAS.2000.856086