PROGNOSIS METHOD OF UNFAVORABLE AIRBORNE EVENTS DURING FLIGHT BASED ON CONVOLUTIONAL AND RECURRENT NEURAL NETWORKS

PROGNOSIS METHOD OF UNFAVORABLE AIRBORNE EVENTS DURING FLIGHT BASED ON CONVOLUTIONAL AND RECURRENT NEURAL NETWORKS

This paper contains formal problem definition of predicting unfavorable airborne events during flight. Restrictions and assumptions are put into the prognosis method of unfavorable airborne events during flight. Mathematical apparatus used to build prognosis method is suggested. As a basic mathemat...

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Bibliographic Details
Main Authors: Evhenii Gryshmanov, Temir Kalimulin, Irina Zakharchenko
Format: Article
Language:English
Published: National Technical University "Kharkiv Polytechnic Institute" 2019-05-01
Series:Сучасні інформаційні системи
Subjects:
deep neural network
convolutional neural network
recurrent neural network
prognosis
unfavorable airborne event
hyperparameter
Online Access:http://ais.khpi.edu.ua/article/view/166459

Internet

http://ais.khpi.edu.ua/article/view/166459

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