In this work a design of a space-varying cellular neural network (CNN) in order to behave as an associative memory is presented. To this purpose, a new class of space-varying cellular neural networks with a nonsymmetric interconnection structure is considered. A stability analysis is firstly carried out. Then, a learning algorithm, based on the relaxation method, is used to compute the feedback parameters of the considered network. Simulation tests are reported to confirm the validity of the suggested approach.
|Titolo:||An Approach to the design of Space-varying Cellular Neural Networks for Associative Memories|
|Data di pubblicazione:||1994|
|Nome del convegno:||37th Midwest Symposium on Circuits and Systems, MWSCAS'94|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1109/MWSCAS.1994.519298|
|Appare nelle tipologie:||4.1 Contributo in Atti di convegno|