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

Andrey M. Solovyov, Nikolay I. Selvesyuk, Vladislav V. Kosyanchuk and Evgeniy Y. Zybin
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Andrey M. Solovyov: JSC “Concern “Sozvezdie”, Plekhanovskaya Str. 14, 394018 Voronezh, Russia
Nikolay I. Selvesyuk: State Research Institute of Aviation Systems, Viktorenko Str. 7, 125167 Moscow, Russia
Vladislav V. Kosyanchuk: State Research Institute of Aviation Systems, Viktorenko Str. 7, 125167 Moscow, Russia
Evgeniy Y. Zybin: State Research Institute of Aviation Systems, Viktorenko Str. 7, 125167 Moscow, Russia

Mathematics, 2022, vol. 10, issue 14, 1-14

Abstract: 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.

Keywords: neural network processor; avionics; on-board intelligent system; decision support system; hysteretic neural network; hysteresis; Preisach model (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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