In this paper a synthesis procedure of discrete-time Cellular Neural Networks (DTCNN's) for associative memories with iterative learning and forgetting algorithms is developed, by which each pattern to be stored is learnt one at a time and each pattern to be forgotten is deleted one at a time. The proposed approach exploits the properties of pseudo inverse matrices and preserves the local connection feature of DTCNN's.
Autori: | |
Titolo: | Discrete-time cellular neural networks for associative memories: a new design method via iterative learning and forgetting algorithms |
Data di pubblicazione: | 1996 |
Nome del convegno: | 38th Midwest Symposium on Circuits and Systems, MWSCAS'95 |
ISBN: | 0-7803-2972-4 |
Digital Object Identifier (DOI): | http://dx.doi.org/10.1109/MWSCAS.1995.504496 |
Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
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