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Reseach Article

ART1 Neural Networks for Air Space Sectoring

by Dr. Krishan Kumar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 37 - Number 1
Year of Publication: 2012
Authors: Dr. Krishan Kumar
10.5120/4572-6566

Dr. Krishan Kumar . ART1 Neural Networks for Air Space Sectoring. International Journal of Computer Applications. 37, 1 ( January 2012), 20-24. DOI=10.5120/4572-6566

@article{ 10.5120/4572-6566,
author = { Dr. Krishan Kumar },
title = { ART1 Neural Networks for Air Space Sectoring },
journal = { International Journal of Computer Applications },
issue_date = { January 2012 },
volume = { 37 },
number = { 1 },
month = { January },
year = { 2012 },
issn = { 0975-8887 },
pages = { 20-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume37/number1/4572-6566/ },
doi = { 10.5120/4572-6566 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:23:10.021399+05:30
%A Dr. Krishan Kumar
%T ART1 Neural Networks for Air Space Sectoring
%J International Journal of Computer Applications
%@ 0975-8887
%V 37
%N 1
%P 20-24
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper it have been shown that how ARTMAP (ART1) neural networks can be used to compute automatically a balanced sectoring of airspace to increase air traffic control capacity in high density airspace area. Crossing points between two airports may generate conflicts between two aircrafts when their trajectories converge on it at the same time and induce a risk of collision.

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Index Terms

Computer Science
Information Sciences

Keywords

ART1 neural networks unsupervised learning air space sectoring