Flight maneuver intelligent recognition based on deep variational autoencoder network

The selection and training of aircraft pilots has high standards, long training cycles, high resource consumption, high risk, and high elimination rate. It is the particularly urgent and important requirement for the current talent training strategy of national and military to increase efficiency an...

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Veröffentlicht in:	EURASIP journal on advances in signal processing Jg. 2022; H. 1; S. 1 - 23
Hauptverfasser:	Tian, Wei, Zhang, Hong, Li, Hui, Xiong, Yuan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 12.03.2022 Springer Springer Nature B.V SpringerOpen
Schlagworte:	Aircraft maneuvers Aircraft pilots Algorithms Artificial Intelligence and Cognitive Computing for Smart Internet of Vehicle Coders Consumption (Economics) Data mining Deep neural network Dynamic time warping Engineering Flight maneuver recognition Flight quality evaluation Flight training Pilot training Pilots Pilots and pilotage Quality assessment Quantum Information Technology Recognition Signal,Image and Speech Processing Spintronics Variational autoencoder Variational autoencoder Flight quality evaluation Deep neural network Flight maneuver recognition Dynamic time warping
ISSN:	1687-6180, 1687-6172, 1687-6180
Online-Zugang:	Volltext
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