HYBRID ASSIGNED REGRESSIVE AND INTELLECTUAL SYSTEMS FOR FORECASTING RATES OF SOCIAL AND ECONOMIC DEVELOPMENT IN RUSSIA
https://doi.org/10.21686/2413-2829-2017-2-147-161
Abstract
The article deals with general methodology and architecture of the system of hybrid models for forecasting economic indices, its putting into effect in the form of integrated information system illustrated by rates in the field of research and innovation, investment and budget sphere of Russian Federation economy. The authors demonstrate the scheme of work of the assigned information and analytical meta-system, show the general algorithm for the process of retro-verification of typical forecast block, which can raise trust for forecast results. They depict stages of the indices forecast process in the hybrid model. The use of such system could give an opportunity to improve accuracy and quality of forecasts and at the same time to apply them in the contour of managing the attainment of target rates.
About the Authors
Olga V. Kitova
Plekhanov Russian University of Economics
Russian Federation
Russian Federation
Doctor of Economics, Professor, Head of the Department for Information Science of the PRUE
36 Stremyanny Lane, Moscow, 117997, Russian Federation
Igor B. Kolmakov
Plekhanov Russian University of Economics
Russian Federation
Russian Federation
Doctor of Economics, Professor of the Department for Information Science of the PRUE
36 Stremyanny Lane, Moscow, 117997, Russian Federation
Matvey V. Domozhakov
Plekhanov Russian University of Economics
Russian Federation
Russian Federation
Post-Graduate Student of the Department for Information Science of the PRUE
36 Stremyanny Lane, Moscow, 117997, Russian Federation
Yaroslava V. Krivosheeva
Plekhanov Russian University of Economics
Russian Federation
Russian Federation
Post-Graduate Student of the Department for Information Science of the PRUE
36 Stremyanny Lane, Moscow, 117997, Russian Federation
Il'ya A. Pen'kov
Plekhanov Russian University of Economics
Russian Federation
Russian Federation
Post-Graduate Student of the Department for Information Science of the PRUE
36 Stremyanny Lane, Moscow, 117997, Russian Federation
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Review
For citations:
Kitova O.V., Kolmakov I.B., Domozhakov M.V., Krivosheeva Ya.V., Pen'kov I.A. HYBRID ASSIGNED REGRESSIVE AND INTELLECTUAL SYSTEMS FOR FORECASTING RATES OF SOCIAL AND ECONOMIC DEVELOPMENT IN RUSSIA. Vestnik of the Plekhanov Russian University of Economics. 2017;(2):147-161. (In Russ.) https://doi.org/10.21686/2413-2829-2017-2-147-161
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