Cloning template design of cellular neural networks for associative memories

Author

Liu, Derong

Author_Institution

Dept. of Electr. & Comput. Eng., Stevens Inst. of Technol., Hoboken, NJ, USA

Volume

44

Issue

7

fYear

1997

fDate

7/1/1997 12:00:00 AM

Firstpage

646

Lastpage

650

Abstract

This brief presents a synthesis procedure (design algorithm) for cellular neural networks with space-invariant cloning template with applications to associative memories. The design algorithm makes it possible to determine in a systematic manner cloning templates for cellular neural networks with or without symmetry constraints on the interconnection weights. Two specific examples are included to demonstrate the applicability of the methodology developed herein

Keywords

cellular neural nets; content-addressable storage; continuous time systems; matrix algebra; 2D continuous-time cellular neural networks; associative memories; cellular neural networks; cloning template design; connection matrix; design algorithm; design methodology; interconnection weights; space-invariant cloning template; symmetry constraints; Algorithm design and analysis; Associative memory; Cellular neural networks; Cloning; Equations; Image processing; Matrix decomposition; Network synthesis; Neural network hardware; Pattern recognition;

fLanguage

English

Journal_Title

Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on

Publisher

ieee

ISSN

1057-7122

Type

jour

DOI

10.1109/81.596948

Filename

596948