Assessment of the Need for Human Resources in the Non-Humanitarian Sphere in the Economy of the Khabarovsk Territory on the Basis of Artificial Neural Networks
- 10.2991/aebmr.k.200509.018How to use a DOI?
- digital economy, demographics, quality of life, neural networks, socio-economic processes, labor market, information society
The article is devoted to the study of the use of neural networks for analysis and forecasting of socio-economic processes, both in Russia and in its individual subjects, on the example of the Khabarovsk territory. The study was carried out by building neural networks to assess, analyze and forecast labor resources in Russia, in the far Eastern Federal district, and as a private aspect – in the Khabarovsk territory. Brief results of scientific analysis and evaluation of modern system of education in preparation of graduates in different clusters of the national economy made the Outlook for reducing the number of labor resources in Khabarovsk territory and the far Eastern Federal district, as threat trends for the effective development of Russia’s Eastern territories. The conclusion about efficiency of application of neural networks for estimation of target indicators of the existing regional programmers aimed at education (teaching), employment promotion, support to fill manpower in science-related spheres of economy of the Khabarovsk territory, as well as improving the quality of education of the population to use modern information technologies in the framework of the digital economy, to create jobs in high-tech industries, development of popularization of technical and information-technical education for successful and effective redistribution of jobs for intensive development of the Eastern territories of the Russian Federation.
- © 2020, 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/).
Cite this article
TY - CONF AU - Luciena E. Piunko AU - Elena V. Tolkacheva PY - 2020 DA - 2020/05/12 TI - Assessment of the Need for Human Resources in the Non-Humanitarian Sphere in the Economy of the Khabarovsk Territory on the Basis of Artificial Neural Networks BT - Proceedings of the International Conference on Economics, Management and Technologies 2020 (ICEMT 2020) PB - Atlantis Press SP - 91 EP - 97 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.200509.018 DO - 10.2991/aebmr.k.200509.018 ID - Piunko2020 ER -