Title :
Cloning template design of cellular neural networks for associative memories
Author_Institution :
Dept. of Electr. & Comput. Eng., Stevens Inst. of Technol., Hoboken, NJ, USA
fDate :
7/1/1997 12:00:00 AM
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;
Journal_Title :
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
