NEURAL NETWORK SYSTEM TRACKS LANDING AIRCRAFT WHEN WIND DIRECTION CHANGES

NEURAL NETWORK SYSTEM TRACKS LANDING AIRCRAFT WHEN WIND DIRECTION CHANGES

The article describes the problem of solving important practical problems of redistribution of aircraft when landing on a different route of the Moscow air hub in the event of a sudden change of weather conditions. The neural network procedure to set priorities for each aircraft in real time based o...

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Bibliographic Details
Main Authors: G. N. Lebedev, V. B. Malygin
Format: Article
Language:Russian
Published: Moscow State Technical University of Civil Aviation 2016-11-01
Series:Научный вестник МГТУ ГА
Subjects:
приоритетное обслуживание
искусственные нейронные сети
оптимальное управление
воздушные суда
динамическое программирование
заход на посадку
Online Access:https://avia.mstuca.ru/jour/article/view/114
Description
Summary:The article describes the problem of solving important practical problems of redistribution of aircraft when landing on a different route of the Moscow air hub in the event of a sudden change of weather conditions. The neural network procedure to set priorities for each aircraft in real time based on dynamic programming is offered. This allowed us to generate lists of vessels for each trace landing and to determine their priority for landing.
ISSN:2079-0619
2542-0119

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