HYBRID ASSIGNED REGRESSIVE AND INTELLECTUAL SYSTEMS FOR FORECASTING RATES OF SOCIAL AND ECONOMIC DEVELOPMENT IN RUSSIA
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 Fede...
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Plekhanov Russian University of Economics
2017
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oai:doaj.org-article:1f8964403e42400097d1e7966de2af6b2021-11-15T05:20:45ZHYBRID ASSIGNED REGRESSIVE AND INTELLECTUAL SYSTEMS FOR FORECASTING RATES OF SOCIAL AND ECONOMIC DEVELOPMENT IN RUSSIA2413-28292587-925110.21686/2413-2829-2017-2-147-161https://doaj.org/article/1f8964403e42400097d1e7966de2af6b2017-09-01T00:00:00Zhttps://vest.rea.ru/jour/article/view/281https://doaj.org/toc/2413-2829https://doaj.org/toc/2587-9251The 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.Olga V. KitovaIgor B. KolmakovMatvey V. DomozhakovYaroslava V. KrivosheevaIl'ya A. Pen'kovPlekhanov Russian University of Economicsarticlesphere of research and innovationsystems of regressive equationsmodels of short-term forecastretro-verification of forecastsystem of neuro-network modelssystem of hybrid modelsEconomics as a scienceHB71-74RUВестник Российского экономического университета имени Г. В. Плеханова, Vol 0, Iss 2, Pp 147-161 (2017) |
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DOAJ |
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DOAJ |
| language |
RU |
| topic |
sphere of research and innovation systems of regressive equations models of short-term forecast retro-verification of forecast system of neuro-network models system of hybrid models Economics as a science HB71-74 |
| spellingShingle |
sphere of research and innovation systems of regressive equations models of short-term forecast retro-verification of forecast system of neuro-network models system of hybrid models Economics as a science HB71-74 Olga V. Kitova Igor B. Kolmakov Matvey V. Domozhakov Yaroslava V. Krivosheeva Il'ya A. Pen'kov HYBRID ASSIGNED REGRESSIVE AND INTELLECTUAL SYSTEMS FOR FORECASTING RATES OF SOCIAL AND ECONOMIC DEVELOPMENT IN RUSSIA |
| description |
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. |
| format |
article |
| author |
Olga V. Kitova Igor B. Kolmakov Matvey V. Domozhakov Yaroslava V. Krivosheeva Il'ya A. Pen'kov |
| author_facet |
Olga V. Kitova Igor B. Kolmakov Matvey V. Domozhakov Yaroslava V. Krivosheeva Il'ya A. Pen'kov |
| author_sort |
Olga V. Kitova |
| title |
HYBRID ASSIGNED REGRESSIVE AND INTELLECTUAL SYSTEMS FOR FORECASTING RATES OF SOCIAL AND ECONOMIC DEVELOPMENT IN RUSSIA |
| title_short |
HYBRID ASSIGNED REGRESSIVE AND INTELLECTUAL SYSTEMS FOR FORECASTING RATES OF SOCIAL AND ECONOMIC DEVELOPMENT IN RUSSIA |
| title_full |
HYBRID ASSIGNED REGRESSIVE AND INTELLECTUAL SYSTEMS FOR FORECASTING RATES OF SOCIAL AND ECONOMIC DEVELOPMENT IN RUSSIA |
| title_fullStr |
HYBRID ASSIGNED REGRESSIVE AND INTELLECTUAL SYSTEMS FOR FORECASTING RATES OF SOCIAL AND ECONOMIC DEVELOPMENT IN RUSSIA |
| title_full_unstemmed |
HYBRID ASSIGNED REGRESSIVE AND INTELLECTUAL SYSTEMS FOR FORECASTING RATES OF SOCIAL AND ECONOMIC DEVELOPMENT IN RUSSIA |
| title_sort |
hybrid assigned regressive and intellectual systems for forecasting rates of social and economic development in russia |
| publisher |
Plekhanov Russian University of Economics |
| publishDate |
2017 |
| url |
https://doaj.org/article/1f8964403e42400097d1e7966de2af6b |
| work_keys_str_mv |
AT olgavkitova hybridassignedregressiveandintellectualsystemsforforecastingratesofsocialandeconomicdevelopmentinrussia AT igorbkolmakov hybridassignedregressiveandintellectualsystemsforforecastingratesofsocialandeconomicdevelopmentinrussia AT matveyvdomozhakov hybridassignedregressiveandintellectualsystemsforforecastingratesofsocialandeconomicdevelopmentinrussia AT yaroslavavkrivosheeva hybridassignedregressiveandintellectualsystemsforforecastingratesofsocialandeconomicdevelopmentinrussia AT ilyaapenkov hybridassignedregressiveandintellectualsystemsforforecastingratesofsocialandeconomicdevelopmentinrussia |
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1718428730620116992 |