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...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-07-01
|
Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/10/14/2390 |
_version_ | 1797433326287454208 |
---|---|
author | Andrey M. Solovyov Nikolay I. Selvesyuk Vladislav V. Kosyanchuk Evgeniy Y. Zybin |
author_facet | Andrey M. Solovyov Nikolay I. Selvesyuk Vladislav V. Kosyanchuk Evgeniy Y. Zybin |
author_sort | Andrey M. Solovyov |
collection | DOAJ |
description | 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. |
first_indexed | 2024-03-09T10:15:27Z |
format | Article |
id | doaj.art-70dcde20cc164948b59b0f0596e9559f |
institution | Directory Open Access Journal |
issn | 2227-7390 |
language | English |
last_indexed | 2024-03-09T10:15:27Z |
publishDate | 2022-07-01 |
publisher | MDPI AG |
record_format | Article |
series | Mathematics |
spelling | doaj.art-70dcde20cc164948b59b0f0596e9559f2023-12-01T22:24:28ZengMDPI AGMathematics2227-73902022-07-011014239010.3390/math10142390A Model of a Universal Neural Computer with Hysteresis Dynamics for Avionics ProblemsAndrey M. Solovyov0Nikolay I. Selvesyuk1Vladislav V. Kosyanchuk2Evgeniy Y. Zybin3JSC “Concern “Sozvezdie”, Plekhanovskaya Str. 14, 394018 Voronezh, RussiaState Research Institute of Aviation Systems, Viktorenko Str. 7, 125167 Moscow, RussiaState Research Institute of Aviation Systems, Viktorenko Str. 7, 125167 Moscow, RussiaState Research Institute of Aviation Systems, Viktorenko Str. 7, 125167 Moscow, RussiaThe 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.https://www.mdpi.com/2227-7390/10/14/2390neural network processoravionicson-board intelligent systemdecision support systemhysteretic neural networkhysteresis |
spellingShingle | Andrey M. Solovyov Nikolay I. Selvesyuk Vladislav V. Kosyanchuk Evgeniy Y. Zybin A Model of a Universal Neural Computer with Hysteresis Dynamics for Avionics Problems Mathematics neural network processor avionics on-board intelligent system decision support system hysteretic neural network hysteresis |
title | A Model of a Universal Neural Computer with Hysteresis Dynamics for Avionics Problems |
title_full | A Model of a Universal Neural Computer with Hysteresis Dynamics for Avionics Problems |
title_fullStr | A Model of a Universal Neural Computer with Hysteresis Dynamics for Avionics Problems |
title_full_unstemmed | A Model of a Universal Neural Computer with Hysteresis Dynamics for Avionics Problems |
title_short | A Model of a Universal Neural Computer with Hysteresis Dynamics for Avionics Problems |
title_sort | model of a universal neural computer with hysteresis dynamics for avionics problems |
topic | neural network processor avionics on-board intelligent system decision support system hysteretic neural network hysteresis |
url | https://www.mdpi.com/2227-7390/10/14/2390 |
work_keys_str_mv | AT andreymsolovyov amodelofauniversalneuralcomputerwithhysteresisdynamicsforavionicsproblems AT nikolayiselvesyuk amodelofauniversalneuralcomputerwithhysteresisdynamicsforavionicsproblems AT vladislavvkosyanchuk amodelofauniversalneuralcomputerwithhysteresisdynamicsforavionicsproblems AT evgeniyyzybin amodelofauniversalneuralcomputerwithhysteresisdynamicsforavionicsproblems AT andreymsolovyov modelofauniversalneuralcomputerwithhysteresisdynamicsforavionicsproblems AT nikolayiselvesyuk modelofauniversalneuralcomputerwithhysteresisdynamicsforavionicsproblems AT vladislavvkosyanchuk modelofauniversalneuralcomputerwithhysteresisdynamicsforavionicsproblems AT evgeniyyzybin modelofauniversalneuralcomputerwithhysteresisdynamicsforavionicsproblems |