In this paper a global design method for associative memories using discrete-time cellular neural networks (DTCNNs) is presented. The proposed synthesis technique enables to realize associative memories with several advantageous features. First of all, grey-level as well as bipolar images can be sto
Linear algebra approach to neural associative memories and noise performance of neural classifiers
โ Scribed by Cherkassky, V.; Fassett, K.; Vassilas, N.
- Book ID
- 119771776
- Publisher
- IEEE
- Year
- 1991
- Tongue
- English
- Weight
- 698 KB
- Volume
- 40
- Category
- Article
- ISSN
- 0018-9340
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