Proceedings of the International Scientific and Practical Conference on Digital Economy (ISCDE 2019)

Assessment of housing construction dynamics in Russia on the basis of neural network modeling

Authors
L.E. Surkova
Corresponding Author
L.E. Surkova
Available Online December 2019.
DOI
10.2991/iscde-19.2019.51How to use a DOI?
Keywords
neural networks, Kohonen maps, modeling, digital technology, data processing, housing construction
Abstract

This article discusses the application of neural network modeling to analyze the dynamics of housing construction in Russia. The analysis of construction for the period of 2015-2018 is carried out. The main economic factors affecting the pace of construction are determined. The article presents a brief overview of the software and tools used for data mining, self-organizing Kohonen maps, and describes the technique of neural network modeling of construction activities. The study is limited to the period of 4 years and the identified several key economic indicators. Statistical information from official sources was used as the initial data for construction of the model. As a result of the study, there was an overall decline in the rate of housing construction during the period under review. The impact of income on the pace of construction is identified. Regions of Russia with high rates of housing construction by 2018 have been named, as well as regions with potential opportunities to increase the volume of housing construction in the near future. Thus, the results of the study are of practical importance and can help in the implementation of the planned plans of housing construction in Russia.

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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Volume Title
Proceedings of the International Scientific and Practical Conference on Digital Economy (ISCDE 2019)
Series
Advances in Economics, Business and Management Research
Publication Date
December 2019
ISBN
10.2991/iscde-19.2019.51
ISSN
2352-5428
DOI
10.2991/iscde-19.2019.51How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - L.E. Surkova
PY  - 2019/12
DA  - 2019/12
TI  - Assessment of housing construction dynamics in Russia on the basis of neural network modeling
BT  - Proceedings of the International Scientific and Practical Conference on Digital Economy (ISCDE 2019)
PB  - Atlantis Press
SP  - 935
EP  - 939
SN  - 2352-5428
UR  - https://doi.org/10.2991/iscde-19.2019.51
DO  - 10.2991/iscde-19.2019.51
ID  - Surkova2019/12
ER  -