Open AccessOPTIMIZATION OF EQUIPMENT RESERVE FOR INTELLECTUAL AUTOMATED SYSTEMS
Author(s) -
Vitaliy Chubaievskyi,
Valeriy Lakhno,
Andrii Blozva,
Olena Kryvoruchko,
Dmytro Kasatkin,
Alona Desiatko,
Taras Litovchenko
Publication year - 2021
Publication title -
kìberbezpeka. osvìta, nauka, tehnìka
Language(s) - English
Resource type - Journals
ISSN - 2663-4023
DOI - 10.28925/2663-4023.2021.14.8799
Subject(s) - backup , artificial neural network , computer science , spectrum analyzer , software , reliability engineering , expert system , interference (communication) , control engineering , artificial intelligence , engineering , computer network , telecommunications , channel (broadcasting) , database , programming language
Algorithms for a neural network analyzer involved in the decision support system (DSS) during the selection of the composition of backup equipment (CBE) for intelligent automated control systems Smart City are proposed. A model, algorithms and software have been developed for solving the optimization problem of choosing a CBE capable of ensuring the uninterrupted operation of the IACS both in conditions of technological failures and in conditions of destructive interference in the operation of the IACS by the attackers. The proposed solutions help to reduce the cost of determining the optimal CBE for IACS by 15–17% in comparison with the results of known calculation methods. The results of computational experiments to study the degree of influence of the outputs of the neural network analyzer on the efficiency of the functioning of the CBE for IACS are presented.