DocumentCode
971261
Title
Improving the Hamming binary associative memory
Author
Taylor, J.T.
Volume
26
Issue
11
fYear
1990
fDate
5/24/1990 12:00:00 AM
Firstpage
705
Lastpage
707
Abstract
The Hamming network is a binary associative memory which exhibits the maximum theoretically obtainable performance in terms of capacity and associativity. The structure is not ideal and two modifications which reduce the number of connections in the correlation matrix and in the selection layers are suggested. These modifications offer a significant reduction in the number of calculations required.
Keywords
content-addressable storage; neural nets; Hamming binary associative memory; Hamming network; associativity; capacity; connection number reduction; correlation matrix; maximum theoretically obtainable performance; modifications; neural networks improvement; selection layers;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:19900460
Filename
106029
Link To Document