In this paper a design method for associative memories using discrete-time cellular neural networks (DTCNNs) is presented. The developed approach enables the number of cell interconnections to be reduced by exploiting the features of multilevel output functions and utilizing proper neighbourhoods which avoid line-crossings among interconnections in the designed networks. As a consequence, the suggested technique greatly simplifies the VLSI implementation of the proposed DTCNN architecture.
A Design Method for Associative Memories using Discrete-time Cellular Neural Networks with a Reduced Number of Cell Interconnections / Brucoli, M.; Carnimeo, L.; Grassi, G.. - STAMPA. - (1996), pp. 623-626. (Intervento presentato al convegno 8th Mediterranean Electrotechnical Conference on Industrial Applications in Power Systems, Computer Science and Telecommunications, MELECON '96 tenutosi a Bari, Italy nel May 13-16, 1996) [10.1109/MELCON.1996.551297].
A Design Method for Associative Memories using Discrete-time Cellular Neural Networks with a Reduced Number of Cell Interconnections
M. Brucoli;L. Carnimeo;
1996-01-01
Abstract
In this paper a design method for associative memories using discrete-time cellular neural networks (DTCNNs) is presented. The developed approach enables the number of cell interconnections to be reduced by exploiting the features of multilevel output functions and utilizing proper neighbourhoods which avoid line-crossings among interconnections in the designed networks. As a consequence, the suggested technique greatly simplifies the VLSI implementation of the proposed DTCNN architecture.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
