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

DOI

10.2991/icistis-19.2019.37How to use a DOI?

Keywords

economic security; human capital; physical education and sport; sports infrastructure, regions of the Russian Federation; Kohonen self-organizing maps; Deductor.

Abstract

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.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Elena Letiagina
AU  - Valentina Perova
AU  - Elena Orlova
PY  - 2019/11
DA  - 2019/11
TI  - Neural network analysis of the development of physical education and sports in Russia as an economic factor of country security
BT  - Proceedings of the 4th International Conference on Innovations in Sports, Tourism and Instructional Science (ICISTIS 2019)
PB  - Atlantis Press
SP  - 138
EP  - 142
SN  - 2468-5739
UR  - https://doi.org/10.2991/icistis-19.2019.37
DO  - 10.2991/icistis-19.2019.37
ID  - Letiagina2019/11
ER  -