Proceedings of the 2000 6th IEEE International Workshop on Cellular Neural Networks and Their Applications (CNNA 2000) (Cat. No
DOI: 10.1109/cnna.2000.876862
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The design of cellular neural network with ratio memory for pattern learning and recognition

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Cited by 11 publications
(1 citation statement)
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“…As a nonlinear analog processor with local interconnect and dual-value output, the cellular neural network (CNN) proposed by Chua et al in 1988 is particularly suitable for the implementation of large-scale circuits [1,2]. The results of CNN research have been widely used in many fields such as biomedicine [3], automatic control [4], pattern recognition [5], signal processing [6], and secure communication [7]. In particular, CNNs are the most extensively used in image processing including noise reduction, edge detection, and character recognition [8−10].…”
Section: Introductionmentioning
confidence: 99%
“…As a nonlinear analog processor with local interconnect and dual-value output, the cellular neural network (CNN) proposed by Chua et al in 1988 is particularly suitable for the implementation of large-scale circuits [1,2]. The results of CNN research have been widely used in many fields such as biomedicine [3], automatic control [4], pattern recognition [5], signal processing [6], and secure communication [7]. In particular, CNNs are the most extensively used in image processing including noise reduction, edge detection, and character recognition [8−10].…”
Section: Introductionmentioning
confidence: 99%