DocumentCode
1099849
Title
Hopfield model with complementary binary representations
Author
Jong, T.-L. ; Tai, H.-M.
Author_Institution
Dept. of Electr. Eng., Texas Tech Univ., Lubbock, TX, USA
Volume
24
Issue
19
fYear
1988
fDate
9/15/1988 12:00:00 AM
Firstpage
1224
Lastpage
1225
Abstract
A Hopfield neural network model with complementary binary representations is proposed. Advantages of this approach are improvement in memory capacity and error-correction capability, when compared with conventional binary models. Some requirements of the Hopfield model necessary to obtain perfect recall can also be relaxed
Keywords
content-addressable storage; error correction; neural nets; Hopfield neural network model; complementary binary representations; error-correction capability; memory capacity;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
Filename
29173
Link To Document