Regional Life Quality Management: Methodological Approaches to its Forecasting using Neural Networks

DOI

10.2991/cssdre-18.2018.34How to use a DOI?

Keywords

regional economy, quality of life, forecasting models, neural networks

Abstract

This paper proposes theoretical and methodical approaches to forecasting of quality of life in regions using neural networks. Assessment of quality of life main indices is a subject of study of both federal statistical agencies and several expert organizations. However, an adequate measurement of these indicators is confronted with information and methodological problems, which include: the incompatibility of methods of measurements in Soviet Union and modern Russian statistics; incomplete pools of data associated with various negative processes, administrative reforms and institutional changes in the Russian economy; partial loss of historical statistical data. This determines the inability to use time series models of economic indicators to identify the main development patterns, and the resulting trends are limited and not reliable enough. Furthermore, most methods have applicability limits and do not work with incomplete or "noisy" data. Therefore, it is proposed to use neural network technologies and intelligent information systems developed on their basis as alternative approach for solving semistructured and unformalized problems of analyzing the quality of life, as well as constructing forecasting models. A comparative analysis of the researches of Russian and foreign authors on the problems of assessment and constructing a integral indicator of the quality of life of the population is carried out. The author proposes an assessment model, as well as the results of a neural network construction, and an economic interpretation of the obtained results.

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  - Elena Petrova
PY  - 2018/05
DA  - 2018/05
TI  - Regional Life Quality Management: Methodological Approaches to its Forecasting using Neural Networks
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  - 157
EP  - 161
SN  - 2352-5428
UR  - https://doi.org/10.2991/cssdre-18.2018.34
DO  - 10.2991/cssdre-18.2018.34
ID  - Petrova2018/05
ER  -