Article ID Journal Published Year Pages File Type
410522 Neurocomputing 2009 9 Pages PDF
Abstract

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.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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