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Forecasting the Indicators of Socio-Economic Development of the Region: Methods and Results

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XIV International Scientific Conference “INTERAGROMASH 2021"

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 246))

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References

  1. Federal Law “On Strategic Planning in the Russian Federation” dated 06.06.2014 No. 172-FZ. http://www.consultant.ru/document/cons_doc_LAW_164841/, Last Accessed 21 Oct 2020

  2. Treschevsky, Y.I., Eitingon, V.N., Schedrov, A.I.: Asynchrony as a property of economic systems. Bull. Voronezh State Univ. Seri.: Econ. Manag. 2, 23–27 (2010)

    Google Scholar 

  3. Nikitina, L.M.: Corporate Social Responsibility as a System of Socio-Economic Relations. Voronezh State Pedagogical University, p. 204 (2009)

    Google Scholar 

  4. Treschevsky, Y.I., Preobrazhensky, B.G.: Interbudgetary relations in world and Russian practice. VSU Publishing House, 160 p. (2003)

    Google Scholar 

  5. The Law of the Voronezh Region dated December 20, 2018 N 168-OZ “On the Strategy for the Social and Economic Development of the Voronezh Region for the Period Until 2035”. http://www.consultant.ru/regbase/cgi/online.cgi?req=doc&base=RLAW181&n=87970#039525984237674416, Last Accessed 21 Oct 2020

  6. Shiryaev, V.I.: Financial markets: neural networks, chaos and nonlinear dynamics. Lenand 232 (2019)

    Google Scholar 

  7. Treschevsky, Y.I., Litovkin, M.V., Terzi, I.V.: Innovative development of Russian regions during the period of economic growth. Reg.: Syst. Econ. Manag. 1(32), 33–40 (2016)

    Google Scholar 

  8. Litovkin, M.V., Terzi, I.V.: Innovative development of Russian regions during the crisis of 2008–2009. In: Problems and Prospects of the Modern Economy: collection of Articles. Voronezh State Pedagogical University, pp. 130–142 (2016)

    Google Scholar 

  9. Kulagina, N.A., Kozlova, E.M.: Methods of research of innovative potential in the development of regional programs of socio-economic development. University XXI 1, 31–40 (2015)

    Google Scholar 

  10. Golichenko, O.G., Schepina, I.N.: Analysis of the effectiveness of innovation in the regions of Russia. Econ. Sci. Mod. Russia 1(44), 77–79 (2009)

    Google Scholar 

  11. Kurchenkov, V.V.: Innovative activity of economic entities of the region: measurement problems. Bus. Educ. Right 4(21), 41–47 (2012)

    Google Scholar 

  12. Regions of Russia.: Socio-Economic Indicators. Rosstat, 996 p. (2010)

    Google Scholar 

  13. Regions of Russia.: Socio-Economic Indicators. Rosstat, 1162 p. (2018)

    Google Scholar 

  14. Regions of Russia.: Socio-Economic Indicators. Rosstat, 1204 p. (2019)

    Google Scholar 

  15. Azarnova, T.V., Treschevsky, Yu.I., Papin, S.N.: Forecasting the parameters of the socio-economic development of the region using the apparatus of neural networks (for example, GRP Voronezh region). Modern Econ.: Probl. Solut. 3(123), 8–25 (2020)

    Google Scholar 

  16. Treschevsky, Y.I., Makarov, M.V., Klimov, N.A., Nikulnikov, P.D.: Predicting the development of the manufacturing industry in the region using standard neural network formation programs. Proc. Southwest State Univ. Ser.: econ. Sociol. Manag. 1(10), 118–129 (2020)

    Google Scholar 

  17. Galushkin, A.I.: Neural networks: the basics of theory. RiS. 416 p. (2015)

    Google Scholar 

  18. Khaikin, S.: Neural networks: full course. Dialectics, 1144 p. (2019)

    Google Scholar 

  19. Callan, R.: Neural Networks: a Quick Reference. Williams I.D., 288 p. (2017)

    Google Scholar 

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Acknowledgements

The study was supported by a grant from the President of the Russian Federation for state support of leading scientific schools of the Russian Federation No. NSh-2702.2020.6 “Conceptual foundations of a new paradigm of economic development in an era of technological and social transformation”.

Author information

Authors and Affiliations

  1. Financial University Under the Government of the Russian Federation (Kursk Branch), Southwest State University, Kursk, Russia

    Yulia Vertakova

  2. Voronezh State University, Universitetskaya Ploshchad’, 1, 394036, Voronezh, Voronezh Oblast, Russia

    Yuri Treshchevsky & Sofya Orekhova

  3. The Russian Presidential Academy of National Economy and Public Administration (Voronezh Branch), Voronezh, Russia

    Nina Treschevskaya

Authors
  1. Yulia Vertakova
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  2. Yuri Treshchevsky
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  3. Nina Treschevskaya
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  4. Sofya Orekhova
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Corresponding author

Correspondence to Yulia Vertakova .

Editor information

Editors and Affiliations

  1. Don State Technical University, Rostov-on-Don, Russia

    Alexey Beskopylny

  2. St. Petersburg State Institute of Technology, St. Petersburg, Russia

    Mark Shamtsyan

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Vertakova, Y., Treshchevsky, Y., Treschevskaya, N., Orekhova, S. (2022). Forecasting the Indicators of Socio-Economic Development of the Region: Methods and Results. In: Beskopylny, A., Shamtsyan, M. (eds) XIV International Scientific Conference “INTERAGROMASH 2021". Lecture Notes in Networks and Systems, vol 246. Springer, Cham. https://doi.org/10.1007/978-3-030-81619-3_90

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  • DOI: https://doi.org/10.1007/978-3-030-81619-3_90

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-81618-6

  • Online ISBN: 978-3-030-81619-3

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