Design of associative memories using cellular neural networks

Cellular neural networks (CNNs) have locally connected neurons. This characteristic makes CNNs adequate for hardware implementation and, consequently, for their employment on a variety of applications as real-time image processing and construction of efficient associative memories. Adjustments of CN...

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Bibliographic Details
Published in:Neurocomputing (Amsterdam) 2009-06, Vol.72 (10), p.2180-2188
Main Authors: Delbem, Alexandre C.B., Correa, Leonardo Garcia, Zhao, Liang
Format: Article
Language:English
Subjects:
Associative memories
Cellular neural networks
Performance comparison
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Summary:Cellular neural networks (CNNs) have locally connected neurons. This characteristic makes CNNs adequate for hardware implementation and, consequently, for their employment on a variety of applications as real-time image processing and construction of efficient associative memories. Adjustments of CNN parameters is a complex problem involved in the configuration of CNN for associative memories. This paper reviews methods of associative memory design based on CNNs, and provides comparative performance analysis of these approaches.
ISSN:0925-2312
1872-8286
DOI:10.1016/j.neucom.2008.06.029