THE SYSTEM OF HYBRID FORECAST MODELS FOR SYTUATIONAL CENTERS OF REGIONAL ADMINISTRATION BODIES AND THEIR APPLICATION IN EDUCATION

The efficient system of state strategic management provides a foundation for competitive economy. State governance of the Russian Federation includes a monitoring system, which ensures successful implementation of strategic plans at all levels. Monitoring covers analysis of the situation and buildi...

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Autores principales:	Olga V. Kitova, Ludmila P. Dyakonova, Victoria M. Savinova
Formato:	article
Lenguaje:	RU
Publicado:	Plekhanov Russian University of Economics 2017
Materias:	forecast system hybrid models situation centers regional development higher education Economics as a science HB71-74
Acceso en línea:	https://doaj.org/article/9cacaa0dc9904eecb8b177f18fe82b86
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spelling	oai:doaj.org-article:9cacaa0dc9904eecb8b177f18fe82b862021-11-15T05:20:46ZTHE SYSTEM OF HYBRID FORECAST MODELS FOR SYTUATIONAL CENTERS OF REGIONAL ADMINISTRATION BODIES AND THEIR APPLICATION IN EDUCATION2413-28292587-925110.21686/2413-2829-2017-5-126-134https://doaj.org/article/9cacaa0dc9904eecb8b177f18fe82b862017-12-01T00:00:00Zhttps://vest.rea.ru/jour/article/view/386https://doaj.org/toc/2413-2829https://doaj.org/toc/2587-9251The efficient system of state strategic management provides a foundation for competitive economy. State governance of the Russian Federation includes a monitoring system, which ensures successful implementation of strategic plans at all levels. Monitoring covers analysis of the situation and building short-term forecasts of the development. The article presents hybrid model and software tools for short-term forecasting of social and economic indices in Russia. The system of hybrid forecast models embraces a complex of regressive models and extending totality of models, including artificial neuron networks, solution trees, etc. Regressive models consist of regressive equation systems describing behavior of forecast indices of Russian economy in the national accounts system. Functioning of the equation system is led by fixed expert-scenario conditions. Those indices, whose quantitative forecasts cannot be built by regressive models, will be forecast by the module of intellectual models. The principle system advantages are its openness and adaptability. It can be introduced in situational regional and municipal centers. An important direction in the education process is the development of advanced methods of teaching based on analyzing and modeling economic situations. The authors propose to apply their forecast system in the Situational Center of the Russian Plekhanov University of Economics to train students and conduct research work.Olga V. KitovaLudmila P. DyakonovaVictoria M. SavinovaPlekhanov Russian University of Economicsarticleforecast systemhybrid modelssituation centersregional developmenthigher educationEconomics as a scienceHB71-74RUВестник Российского экономического университета имени Г. В. Плеханова, Vol 0, Iss 5, Pp 126-134 (2017)
institution	DOAJ
collection	DOAJ
language	RU
topic	forecast system hybrid models situation centers regional development higher education Economics as a science HB71-74
spellingShingle	forecast system hybrid models situation centers regional development higher education Economics as a science HB71-74 Olga V. Kitova Ludmila P. Dyakonova Victoria M. Savinova THE SYSTEM OF HYBRID FORECAST MODELS FOR SYTUATIONAL CENTERS OF REGIONAL ADMINISTRATION BODIES AND THEIR APPLICATION IN EDUCATION
description	The efficient system of state strategic management provides a foundation for competitive economy. State governance of the Russian Federation includes a monitoring system, which ensures successful implementation of strategic plans at all levels. Monitoring covers analysis of the situation and building short-term forecasts of the development. The article presents hybrid model and software tools for short-term forecasting of social and economic indices in Russia. The system of hybrid forecast models embraces a complex of regressive models and extending totality of models, including artificial neuron networks, solution trees, etc. Regressive models consist of regressive equation systems describing behavior of forecast indices of Russian economy in the national accounts system. Functioning of the equation system is led by fixed expert-scenario conditions. Those indices, whose quantitative forecasts cannot be built by regressive models, will be forecast by the module of intellectual models. The principle system advantages are its openness and adaptability. It can be introduced in situational regional and municipal centers. An important direction in the education process is the development of advanced methods of teaching based on analyzing and modeling economic situations. The authors propose to apply their forecast system in the Situational Center of the Russian Plekhanov University of Economics to train students and conduct research work.
format	article
author	Olga V. Kitova Ludmila P. Dyakonova Victoria M. Savinova
author_facet	Olga V. Kitova Ludmila P. Dyakonova Victoria M. Savinova
author_sort	Olga V. Kitova
title	THE SYSTEM OF HYBRID FORECAST MODELS FOR SYTUATIONAL CENTERS OF REGIONAL ADMINISTRATION BODIES AND THEIR APPLICATION IN EDUCATION
title_short	THE SYSTEM OF HYBRID FORECAST MODELS FOR SYTUATIONAL CENTERS OF REGIONAL ADMINISTRATION BODIES AND THEIR APPLICATION IN EDUCATION
title_full	THE SYSTEM OF HYBRID FORECAST MODELS FOR SYTUATIONAL CENTERS OF REGIONAL ADMINISTRATION BODIES AND THEIR APPLICATION IN EDUCATION
title_fullStr	THE SYSTEM OF HYBRID FORECAST MODELS FOR SYTUATIONAL CENTERS OF REGIONAL ADMINISTRATION BODIES AND THEIR APPLICATION IN EDUCATION
title_full_unstemmed	THE SYSTEM OF HYBRID FORECAST MODELS FOR SYTUATIONAL CENTERS OF REGIONAL ADMINISTRATION BODIES AND THEIR APPLICATION IN EDUCATION
title_sort	system of hybrid forecast models for sytuational centers of regional administration bodies and their application in education
publisher	Plekhanov Russian University of Economics
publishDate	2017
url	https://doaj.org/article/9cacaa0dc9904eecb8b177f18fe82b86
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THE SYSTEM OF HYBRID FORECAST MODELS FOR SYTUATIONAL CENTERS OF REGIONAL ADMINISTRATION BODIES AND THEIR APPLICATION IN EDUCATION

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