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This article is cited in 1 scientific paper (total in 1 paper)
TECHNICAL SCIENCE
Comparative analysis
of artificial neural networks
and multi-agent systems
A. S. Ibrahim Institute of Applied Mathematics and Automation –
branch of the FSBSE «Federal Scientific Center
«Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences»,
360000, KBR, Nalchik, 89 A Shortanov str.
Abstract:
The article discusses two artificial intelligence systems - neural networks and multi-agent systems.
The main goal is to determine the advantages and disadvantages of these AI methods, the best methods of their application in solving certain problems. The schemes of construction and stages of functioning of these methods of artificial intelligence are described. As a result of practical application, some advantages and disadvantages of neural networks (NN) and multi-agent systems (MS) have been
identified.
Keywords:
neural networks, Multi-agent system, agent, neurons, artificial intelligence, algorithms.
Received: 14.12.2020
Citation:
A. S. Ibrahim, “Comparative analysis
of artificial neural networks
and multi-agent systems”, News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 2021, no. 1, 20–27
Linking options:
https://www.mathnet.ru/eng/izkab258 https://www.mathnet.ru/eng/izkab/y2021/i1/p20
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