Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
410522 | Neurocomputing | 2009 | 9 Pages |
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
Authors
Alexandre C.B. Delbem, Leonardo Garcia Correa, Liang Zhao,