Forecasting the Indicators of Scientific, Technological and Innovative Development of the Region Using Recurrent Neural Networks
Byvshev V.I. , Koroleva S.A. , Panteleeva I.A. , Pisarev I.V.
Byvshev V.I., Koroleva S.A., Panteleeva I.A., Pisarev I.V. (2024). Forecasting indicators of scientific, technological and innovative development of the region using recurrent neural networks. Economic and Social Changes: Facts, Trends, Forecast , 17(3), 102–117. DOI: 10.15838/esc.2024.3.93.6
DOI: 10.15838/esc.2024.3.93.6
Panteleeva Irina A. Candidate of Sciences (Philosophy), Associate Professor
Organization
Siberian Federal University; Krasnoyarsk Regional Fund for Support of Scientific and Scientific-Technical Activities
Organization address
79, Svobodny Avenue, Krasnoyarsk, 660041, Russian Federation; 246, Karl Marx Street, Krasnoyarsk, 660100, Russian Federation
Position
associate professor of department; executive director
Profiles
ORCID ID: 0000-0003-3292-0728 ResearcherID: AAQ-2585-2020
E-mail
panteleevaia@gmail.com
Pisarev Ivan V.
Organization
Reshetnev Siberian State University of Science and Technology; Krasnoyarsk Regional Fund for Support of Scientific and Scientific-Technical Activities
Organization address
31, Prospekt imeni gazety “Krasnoyarsky rabochy”, Krasnoyarsk, 660037, Russian Federation; 246, Karl Marx Street, Krasnoyarsk, 660100, Russian Federation
Position
postgraduate student; Chief Specialist
Profiles
ORCID ID: 0000-0002-0419-0388 ResearcherID: JYQ-5244-2024
E-mail
ivanpisarev24@yandex.ru
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