| Issue |
E3S Web Conf.
Volume 208, 2020
First Conference on Sustainable Development: Industrial Future of Territories (IFT 2020)
|
|
|---|---|---|
| Article Number | 08001 | |
| Number of page(s) | 7 | |
| Section | Management of Sustainable Development of Territories | |
| DOI | https://doi.org/10.1051/e3sconf/202020808001 | |
| Published online | 24 November 2020 | |
Principles for Development of Predictive Stability Models of Social and Economic Systems on the basis of DTW
Russian Academy of National Economy and Public Administration, Vladimir branch, Gorky Str., 59a, 600017 Vladimir, Russia
* Corresponding authors: ankislyakov@mail.ru
This paper presents the concept for the development of predictive models of social and economic system evolution providing the necessity of combining solution search optimization algorithms and methods of regressive and clustering analysis for the adequate description of system attribute space. The rationale for the selection of metrics on the basis of a dynamic time-warping algorithm which allows to carry out clustering of the system attribute space. The example of solution of description task for COVID-19 pandemic development attribute for a particular country or region is considered. The developed concept formulates main provisions and indicators that can be used in order to increase the algorithm efficiency for the development of predictive complicated system models.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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