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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Autores principales:	Olga V. Kitova, Igor B. Kolmakov, Matvey V. Domozhakov, Yaroslava V. Krivosheeva, Il'ya A. Pen'kov
Formato:	article
Lenguaje:	RU
Publicado:	Plekhanov Russian University of Economics 2017
Materias:	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
Acceso en línea:	https://doaj.org/article/1f8964403e42400097d1e7966de2af6b
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HYBRID ASSIGNED REGRESSIVE AND INTELLECTUAL SYSTEMS FOR FORECASTING RATES OF SOCIAL AND ECONOMIC DEVELOPMENT IN RUSSIA

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