Neural network modeling of development trends of physical culture and sports in the Russian regions as a driver of the national socio-economic growth

Перова, В.И.; Perova, N.A.

doi:10.24891/ni.14.11.2064

Cited by 3 publications

(2 citation statements)

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“…A particular type of neural networks, Kohonen self-organising maps (SOMs) (Kohonen, 1982;Kohonen, 1990), was chosen for the study. This type was chosen because of the following features of such neural networks (Perova and Perova, 2018;Letiagina, et al, 2020;Carboni, Russu, 2015): a) there are no model limitations when analysing multidimensional statistical data; b) SOMs do not require any external intervention in the learning process; c) their learning algorithms allow projecting multidimensional input data space with the account of topology into either two-dimensional space or into three-dimensional space. This enables visualisation of the results obtained.…”

Section: Methodsmentioning

confidence: 99%

Neurocomputing for the Research of Sustainable Regional Development of Physical Culture, Sports and Tourism in the Context of Ensuring the Quality of Human Capital

Letiagina¹,

Перова²,

Gutko³

2021

Human, Technologies and Quality of Education, 2021

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In today’s world, human capital is one of the key indicators of a country’s sustainable socio-economic development. We have used neurocomputing tools to study the current state of physical education, sports and active tourism in the context of ensuring the quality of human capital, in order to preserve the population’s health and increase life expectancy. The relevance of research in this field is determined by the importance of physical activity for the development of human capital, which is one of the central internal factors of countries’ economic potential. Human capital also plays an important role in ensuring national security and sustainable regional development. We have performed a cluster analysis of physical culture and sports data in Russian regions using the tools of neural networks, one of the branches of artificial intelligence. The proposed approach based on neurocomputing and neural network modeling can be helpful in informing strategy proposals and measures aimed at enhancing the sustainable development and the role of physical culture, sports and tourism to ensure the quality of human capital.

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Section: Methodsmentioning

confidence: 99%

Neurocomputing for the Research of Sustainable Regional Development of Physical Culture, Sports and Tourism in the Context of Ensuring the Quality of Human Capital

Letiagina¹,

Перова²,

Gutko³

2021

Human, Technologies and Quality of Education, 2021

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“…In the Russian Federation and abroad, many commercial physical education and sports organizations continue to be created: physical education and health clubs and associations, fitness centers, shaping clubs, massage centers, gyms and other facilities. Improving competitiveness in the sports field as a special area of innovation and entrepreneurship, as well as training highly skilled athletes, are among the priority areas for the development of physical education and sports in the regions of Russia [8,9]. Business in sports is socially significant.…”

Section: Introductionmentioning

confidence: 99%

Neural network analysis of the development of physical education and sports in Russia as an economic factor of country security

Letiagina¹,

Перова²,

Orlova³

2019

Proceedings of the 4th International Conference on Innovations in Sports, Tourism and Instructional Science (ICISTIS 2019)

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The neural network analysis of physical education and sports in the regions of Russia is carried out with the help of multidimensional statistical data of the Ministry of Sports of the Russian Federation. The research tool for data clustering was neural networks implemented in the analytical package Deductor-Kohonen self-organizing maps (SOM). The distribution of Russian regions by five clusters is obtained. It is shown that there is an uneven development of sports infrastructure. The regions with the highest development rates are identified. The results obtained are of practical importance for the strategic planning of the development of physical education and sports essential for improving the quality of human capital and ensuring the economic security of the country.

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Analysis of human capital development in Russia by means of physical culture and sports using neural network modeling

Lyubushin

Letiagina

Перова

et al. 2022

EATP

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Subject. The article investigates the human capital in the regions of the Russian Federation in the context of health promotion and active longevity of the population of the country. Objectives. The purpose is to examine the state of human capital driven by the development of physical culture and sports in Russian regions, using neural network modeling. Methods. Neural networks are used as a method of studying the multidimensional statistical data. The method of data clustering based on neural network modeling is not affiliated with model constraints. This method is aimed at self–training of neural networks, i.e. self-organizing Kohonen maps, and is a promising means of visual representation of multidimensional data space. Results. Using the neural network modeling, we placed 85 Russian regions in six cluster formations. We assessed the influence of each studied indicator on cluster construction. The paper demonstrates a strong difference in the number of regions of the Russian Federation in clusters, presents average values of the considered indicators in clusters for 2021. Conclusions. The study shows uneven development of human capital in Russian regions from the point of view of physical culture and sports, which predetermines different strategies for the development of the regional sports sphere. The positive trend in the number of sports facilities, personnel, and population engaged in physical culture and sports is facilitated by a systems approach based on program documents, which focuses on strengthening the health of citizens and their active longevity.

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Neural network modeling of development trends of physical culture and sports in the Russian regions as a driver of the national socio-economic growth

Cited by 3 publications

References 0 publications

Neurocomputing for the Research of Sustainable Regional Development of Physical Culture, Sports and Tourism in the Context of Ensuring the Quality of Human Capital

Neurocomputing for the Research of Sustainable Regional Development of Physical Culture, Sports and Tourism in the Context of Ensuring the Quality of Human Capital

Neural network analysis of the development of physical education and sports in Russia as an economic factor of country security

Analysis of human capital development in Russia by means of physical culture and sports using neural network modeling

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