Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: International Scientific Workshop on Modeling, Information Processing and Computing, MIP: Computing-V 2022

Год издания: 2022

Ключевые слова: artificial neural networks, kohonen maps, mathematical models, software system

Аннотация: An artificial neural network is a system of simple processors (artificial neurons) that are connected and interact with each other. Programming neural networks means training the network, not writing program code. Thanks to training, the network is able to identify dependencies between data (input and output), generalize, simplify Показать полностьюthe results, and use knowledge to break down complex problems into simpler ones. The aim of the presented work is to improve the efficiency of managing the needs of the clients of the fitness club through the use of modern methods of data analysis. As a technology for the implementation of such an analysis, the work uses neural networks of a special type - Kohonen networks. On the basis of the proposed approach, the final software product is being developed to improve the quality of management of a fitness club. © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

Журнал: CEUR Workshop Proceedings

Выпуск журнала: Vol. 3091

Номера страниц: 72-80

ISSN журнала: 16130073

Издатель: CEUR-WS

• Tynchenko V.S. (Reshetnev Siberian State University of Science and Technology, 31, Krasnoyarskiy rabochiy pr., Krasnoyarsk, 660037, Russian Federation, Siberian Federal University, 79, Svobodny pr., Krasnoyarsk, 660041, Russian Federation, Bauman Moscow State Technical University, 5/1, 2nd Baumanskaya st., Moscow, 105005, Russian Federation)
• Bukhtoyarov V.V. (Reshetnev Siberian State University of Science and Technology, 31, Krasnoyarskiy rabochiy pr., Krasnoyarsk, 660037, Russian Federation, Siberian Federal University, 79, Svobodny pr., Krasnoyarsk, 660041, Russian Federation)
• Bocharov A.N. (Reshetnev Siberian State University of Science and Technology, 31, Krasnoyarskiy rabochiy pr., Krasnoyarsk, 660037, Russian Federation, Siberian Federal University, 79, Svobodny pr., Krasnoyarsk, 660041, Russian Federation)
• Lavrishchev A.V. (Reshetnev Siberian State University of Science and Technology, 31, Krasnoyarskiy rabochiy pr., Krasnoyarsk, 660037, Russian Federation)
• Seregin Y.N. (Reshetnev Siberian State University of Science and Technology, 31, Krasnoyarskiy rabochiy pr., Krasnoyarsk, 660037, Russian Federation)

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