DocumentCode
1021420
Title
Predicting contradictions in the storage process of diluted recurrent Boolean neural networks
Author
De Padua Braga, Antonio
Author_Institution
Dept. of Electr. & Electron. Eng., Imperial Coll. of Sci., Technol. & Med., London
Volume
30
Issue
1
fYear
1994
fDate
1/6/1994 12:00:00 AM
Firstpage
55
Lastpage
56
Abstract
Contradictions among patterns cause degradation in the storage capacity of diluted recurrent Boolean neural networks. A model is presented for estimating the likelihood of the occurrence of contradictions, which allows an estimation of the storage capacity of the network. The theoretical model fits very well with computer simulations
Keywords
Boolean functions; content-addressable storage; neural nets; probability; diluted recurrent Boolean neural networks; model; pattern contradictions; storage capacity; storage process;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:19940020
Filename
260600
Link To Document