Journal of Siberian Federal University. Mathematics & Physics
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive
Impact factor
Guidelines for authors

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS


J. Sib. Fed. Univ. Math. Phys.:
Year:
Volume:
Issue:
Page:
Find




Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register

Journal of Siberian Federal University. Mathematics & Physics, 2019, Volume 12, Issue 2, Pages 249–260
DOI: https://doi.org/10.17516/1997-1397-2019-12-2-249-260 (Mi jsfu753) 		 
This article is cited in 1 scientific paper (total in 1 paper)

Data modeling in the solution of hard-to-formalise socio-economic problems

Konstantin V. Simonova, Mikhail A. Kurakob, Alexey A. Kabanovc, Fedor P. Kapsargind, Lubov F. Zuevad, Artem V. Ershovd, Svetlana N. Gribe

a Institute of Computational Modeling SB RAS, Academgorodok 50/44, Krasnoyarsk, 660036, Russia
b School of Space and Information Technologies, Siberian Federal University, Svobodny 79, Krasnoyarsk, 660041, Russia
c SDTB Science ICT SB RAS, Mira pr. 53, Krasnoyarsk, 660049, Russia
d Krasnoyarsk State Medical University, Partizana Zheleznyaka st., 1, Krasnoyarsk, 660022, Russia
e School of Economics, Management and Environmental Studies, Siberian Federal University, Svobodny, 79, Krasnoyarsk, 660041, Russia
Full-text PDF (1632 kB) Citations (1)
References:
PDF
HTML
DOI: https://doi.org/10.17516/1997-1397-2019-12-2-249-260
Abstract: Algorithms for data modeling in the solution of hard-to-formalize social problems are considered in the paper. They are connected with the healthcare in terms of interconnections and interactions of territories of the Yenisei Siberia where the Krasnoyarsk Krai is the key region. Elements of information system for the analysis of the current state and estimation of the scenarios of future interaction of the territories of the Yenisei economic zone are considered to solve the problems. GIS technologies and modern approaches to model various data are described.
Keywords: data analysis algorithms, databases, GIS, data modelling, neural networks.
Funding agency
The study was supported by Krasnoyarsk Region Science and Technology Support Fund and by Krasnoyarsk Regional Fund of Support Scientific and Technical Activities.
Received: 29.11.2018
Received in revised form: 20.01.2019
Accepted: 20.02.2019
Bibliographic databases:
Document Type: Article
UDC: 004.94
Language: English
Citation: Konstantin V. Simonov, Mikhail A. Kurako, Alexey A. Kabanov, Fedor P. Kapsargin, Lubov F. Zueva, Artem V. Ershov, Svetlana N. Grib, “Data modeling in the solution of hard-to-formalise socio-economic problems”, J. Sib. Fed. Univ. Math. Phys., 12:2 (2019), 249–260
Citation in format AMSBIB
\Bibitem{SimKurKab19}
\by Konstantin~V.~Simonov, Mikhail~A.~Kurako, Alexey~A.~Kabanov, Fedor~P.~Kapsargin, Lubov~F.~Zueva, Artem~V.~Ershov, Svetlana~N.~Grib
\paper Data modeling in the solution of hard-to-formalise socio-economic problems
\jour J. Sib. Fed. Univ. Math. Phys.
\yr 2019
\vol 12
\issue 2
\pages 249--260
\mathnet{http://mi.mathnet.ru/jsfu753}
\crossref{https://doi.org/10.17516/1997-1397-2019-12-2-249-260}
\isi{https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=Publons&SrcAuth=Publons_CEL&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=000467247000012}
Linking options:
  • https://www.mathnet.ru/eng/jsfu753
  • https://www.mathnet.ru/eng/jsfu/v12/i2/p249
    • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Журнал Сибирского федерального университета. Серия "Математика и физика"
    Statistics & downloads:
    Abstract page:150
    Full-text PDF :64
    References:21
     
      Contact us:
    		  Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024