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RKGHeM(4,4) Technique with Error Control for Connected Component Detector

RKGHeM(4,4) Technique with Error Control for Connected Component Detector The aim of this paper is focused on proposing a new versatile Runge-Kutta embedded fourth order four stage geometric heronian mean algorithm for simulating connected component detector (CCD) under cellular neural network (CNN) architecture. The mathematical expressions for local truncation error (LTE), global truncation error (GTE) and error estimates have been derived. Simulation results are presented for new RKGHeM(4,4) algorithm. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Applied Systemic Studies Inderscience Publishers

RKGHeM(4,4) Technique with Error Control for Connected Component Detector

International Journal of Applied Systemic Studies , Volume 4 (1-2) – Jan 1, 2011

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Publisher
Inderscience Publishers
Copyright
Copyright © 2011 Inderscience Enterprises Ltd.
Subject
Artificial Intelligence and Intelligent Systems; COMPUTING JOURNALS; Computing Science, Applications and Software; Information Systems and Technology; TECHNICAL JOURNALS; Design and Product Development; Materials and Manufacturing; Simulation and Modelling; Systems Engineering; Electronic, Robotic and Control Systems; MANAGEMENT JOURNALS; Operational Management and Marketing
ISSN
1751-0589
eISSN
1751-0597
DOI
10.1504/IJASS.2011.042201
Publisher site
See Article on Publisher Site

Abstract

The aim of this paper is focused on proposing a new versatile Runge-Kutta embedded fourth order four stage geometric heronian mean algorithm for simulating connected component detector (CCD) under cellular neural network (CNN) architecture. The mathematical expressions for local truncation error (LTE), global truncation error (GTE) and error estimates have been derived. Simulation results are presented for new RKGHeM(4,4) algorithm.

Journal

International Journal of Applied Systemic StudiesInderscience Publishers

Published: Jan 1, 2011

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