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

Elena N. Letiagina, Valentina I. Perova, Alexander V. Gutko
Lobachevsky State University of Nizhny Novgorod, Russia

Abstract: 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.
Keywords: physical culture, sport, human capital, tourism, neurocomputing, neural networks, cluster analysis.

In: Human, Technologies and Quality of Education, 2021 = Cilvēks, tehnoloģijas un izglītības kvalitāte, 2021
Rīga, University of Latvia, 2021. 1148 p. Ed. L. Daniela
ISBN 978-9934-18-735-3