DocumentCode
914816
Title
Cellular neural networks for associative memories
Author
Liu, Derong ; Michel, Anthony N.
Author_Institution
Dept. of Electr. Eng., Notre Dame Univ., IN, USA
Volume
40
Issue
2
fYear
1993
fDate
2/1/1993 12:00:00 AM
Firstpage
119
Lastpage
121
Abstract
A synthesis procedure for designing nonsymmetric cellular neural networks (CNN) with a predetermined local interconnection structure that will store a set of desired bipolar vectors as memory points is presented. A specific case of constructing Chinese characters is presented to demonstrate the applicability of the results. Simulation results show that all the vectors corresponding to 50 commonly used Chinese characters are reachable memory vectors of the synthesized CNN
Keywords
cellular arrays; character recognition; character sets; content-addressable storage; neural nets; Chinese characters; associative memories; bipolar vectors storage; character construction; local interconnection structure; nonsymmetric cellular neural networks; synthesis procedure; Associative memory; Cellular neural networks; Circuit synthesis; Eigenvalues and eigenfunctions; Equations; Image processing; Network synthesis; Neural networks; Signal synthesis; Very large scale integration;
fLanguage
English
Journal_Title
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7130
Type
jour
DOI
10.1109/82.219843
Filename
219843
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