DocumentCode
2616781
Title
Unifying the Hopfield and Hamming binary associative memories
Author
Houselander, P. ; Taylor, J.T.
Author_Institution
Dept. of Elctron. & Electr. Eng., Univ. College, London, UK
fYear
1990
fDate
1-3 May 1990
Firstpage
188
Abstract
A mathematical technique that makes it possible to calculate the capacity (which is defined) of an associative memory is introduced. The technique is used to investigate the performance (in terms of capacity) of the original Hopfield network and some novel derivatives. Through a logical sequence of structural improvements, it is shown that a natural conclusion to the extension of the Hopfield network is the Hamming network. This network exhibits the theoretical maximum capacity obtainable from an associative memory structure
Keywords
content-addressable storage; memory architecture; neural nets; self-organising storage; CAM; Hamming network; Hopfield network; artificial neural networks; binary associative memories; mathematical technique; memory capacity calculation; Artificial neural networks; Associative memory; Educational institutions; Equations; Error correction; Facsimile; Hamming distance; Probes;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1990., IEEE International Symposium on
Conference_Location
New Orleans, LA
Type
conf
DOI
10.1109/ISCAS.1990.111962
Filename
111962
Link To Document