The topology of the federal subjects of Russia by life expectancy of the population using the Kohonen neural network

DOI

10.2991/cssdre-18.2018.31How to use a DOI?

Keywords

cluster analysis, neural network, Kohonen self-organizing maps, life expectancy, social and economic development of regions

Abstract

The authors proposed a method of analysis of the life expectancy of the population of regions of Russia, which is carried out using a Kohonen neural network. By the method of adjusting the input weights of the neural network, the self-organizing maps of Kohonen were chosen. As the determining socio-economic factors affecting the expected life expectancy of the population, statistical indicators are selected taking into account the correlation analysis, which is combined into the following blocks: public health, ecology, social participation and safety, employment and welfare of the population. Accordions to Kohonen self-organizing maps, data analysis was performed, clusters were recognized and hidden interdependencies were established between the indicators that affect the expected life expectancy of the population of the regions of the country. Regions of Russia, depending on the level of significance of life expectancy at birth of the population and determining factors of influence on it, were classified into four clusters. Regional economic systems of the South of Russia are classified as a cluster with a high level of significance of life expectancy, due to a low incidence of the population, a balanced level of the employed population and the unemployment rate, as well as a positive ecological situation in the regions.

Copyright

© 2018, 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  - Petr Bondarenko
AU  - Anna Trukhlayeva
AU  - Elena Fokina
PY  - 2018/05
DA  - 2018/05
TI  - The topology of the federal subjects of Russia by life expectancy of the population using the Kohonen neural network
BT  - Proceedings of the International Scientific Conference "Competitive, Sustainable and Secure Development of the Regional Economy: Response to Global Challenges" (CSSDRE 2018)
PB  - Atlantis Press
SP  - 141
EP  - 145
SN  - 2352-5428
UR  - https://doi.org/10.2991/cssdre-18.2018.31
DO  - 10.2991/cssdre-18.2018.31
ID  - Bondarenko2018/05
ER  -