Extended CNN topologies and VLSI implementations
G. Di Bernardo, Mario Lavorgna, Luigi G. Occhipinti · 2002
Summary form only given. The work carried out is oriented to extend classical topologies of Cellular Neural Networks (CNN) to more general cellular processors, and their implementation, in order to build universal machines able to perform complex tasks and nonlinear dynamic generation. More precisely, State-Controlled CNNs and Fuzzy Cellular Processors are briefly introduced. The former are implemented in mixed-signal CMOS technology.