A short-term neural network memory
Journal Article
·
· SIAM J. Comput.; (United States)
Neural network memories with storage prescriptions based on Hebb's rule are known to collapse as more words are stored. By requiring that the most recently stored word be remembered precisely, a new simple short-term neutral network memory is obtained and its steady state capacity analyzed and simulated. Comparisons are drawn with Hopfield's method, the delta method of Widrow and Hoff, and the revised marginalist model of Mezard, Nadal, and Toulouse.
- Research Organization:
- AT and T Bell Labs., Holmdel, NJ (US)
- OSTI ID:
- 6347350
- Journal Information:
- SIAM J. Comput.; (United States), Journal Name: SIAM J. Comput.; (United States) Vol. 17:6; ISSN SMJCA
- Country of Publication:
- United States
- Language:
- English
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