Raster cellular neural network simulator for image processing applications with numerical integration algorithms

In this paper, a universal simulator for cellular neural network (CNN) is presented. This simulator is capable of performing Raster simulation for any size of input image, and thus is a powerful tool for researchers investigating potential applications of CNN. This paper reports the latency properti...

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Bibliographic Details
Published in:International journal of computer mathematics Vol. 86; no. 7; pp. 1215 - 1221
Main Author: Murugesh, V.
Format: Journal Article
Language:English
Published: Abingdon Taylor & Francis 01.07.2009
Taylor & Francis Ltd
Subjects:
Algorithms
cellular neural networks
Euler algorithm
G.1.7
Image processing systems
Neural networks
Numerical analysis
ordinary differential equations
RK-Butcher algorithm
RK-Gill algorithm
Simulators
ISSN:0020-7160, 1029-0265
Online Access:Get full text
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Summary:In this paper, a universal simulator for cellular neural network (CNN) is presented. This simulator is capable of performing Raster simulation for any size of input image, and thus is a powerful tool for researchers investigating potential applications of CNN. This paper reports the latency properties of CNNs along with popular numerical integration algorithms; results and comparisons are also presented.
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ISSN:0020-7160
1029-0265
DOI:10.1080/00207160701798772