๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

An associative memory based on an electronic neural network architecture

โœ Scribed by Howard, R.E.; Schwartz, D.B.; Denker, J.S.; Epworth, R.W.; Graf, H.P.; Hubbard, W.E.; Jackel, L.D.; Straughn, B.L.; Tennant, D.M.


Book ID
114596029
Publisher
IEEE
Year
1987
Tongue
English
Weight
747 KB
Volume
34
Category
Article
ISSN
0018-9383

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


An Adaptive Opto-electronic Neural Netwo
โœ F. Ahmed; A.A.S. Awwal ๐Ÿ“‚ Article ๐Ÿ“… 1993 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 512 KB

A novel adaptive trinary neural network model is proposed for associative pattern retrieval from incomplete data. Systematic analysis of the convergence mechanism for the character recognition problem is provided to illustrate the derivation of this novel adaptive thresholding scheme. The adaptive s

An associate memory model based on hopfi
โœ Kiyoshi Nishiyama; Haruhide Goto ๐Ÿ“‚ Article ๐Ÿ“… 1993 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 902 KB

## Abstract In the associate memory model based on the Hopfield neural network, the memorized pattern must satisfy a certain kind of orthogonal condition. However, in general, it is very difficult to satisfy this condition, which has been a great drawback in the application of the associative memor