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

Autor:	Andrey M. Solovyov, Nikolay I. Selvesyuk, Vladislav V. Kosyanchuk, Evgeniy Y. Zybin
Jazyk:	angličtina
Rok vydání:	2022
Předmět:	neural network processor avionics on-board intelligent system decision support system hysteretic neural network hysteresis Mathematics QA1-939
Zdroj:	Mathematics, Vol 10, Iss 14, p 2390 (2022)
Druh dokumentu:	article
ISSN:	2227-7390
DOI:	10.3390/math10142390
Popis:	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.
Databáze:	Directory of Open Access Journals
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