A Model of a Universal Neural Computer with Hysteresis Dynamics for Avionics Problems

The paper proposes a method for implementing a universal neural network processor with hysteresis dynamics. This processor allows a wide range of heterogeneous tasks in real time to be performed without reprogramming and changing their internal structure. Adding hysteresis behavior to the system mak...

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Veröffentlicht in:	Mathematics (Basel) 2022-07, Vol.10 (14), p.2390
Hauptverfasser:	Solovyov, Andrey M., Selvesyuk, Nikolay I., Kosyanchuk, Vladislav V., Zybin, Evgeniy Y.
Format:	Artikel
Sprache:	eng
Schlagworte:	Aircraft Algorithms Artificial intelligence Aviation Avionics Costs decision support system Distributed processing Hysteresis hysteretic neural network Microprocessors neural network processor Neural networks on-board intelligent system Software
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Beschreibung
Zusammenfassung:	The paper proposes a method for implementing a universal neural network processor with hysteresis dynamics. This processor allows a wide range of heterogeneous tasks in real time to be performed without reprogramming and changing their internal structure. Adding hysteresis behavior to the system makes it possible to increase resistance to external influences, the complexity as well as non-linearity of intelligent output. The paper discusses the use of this processor as part of an on-board intelligent avionics system.
ISSN:	2227-7390 2227-7390
DOI:	10.3390/math10142390