HYBRID ASSIGNED REGRESSIVE AND INTELLECTUAL SYSTEMS FOR FORECASTING RATES OF SOCIAL AND ECONOMIC DEVELOPMENT IN RUSSIA

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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Bibliographic Details
Main Authors: Olga V. Kitova, Igor B. Kolmakov, Matvey V. Domozhakov, Yaroslava V. Krivosheeva, Il'ya A. Pen'kov
Format: Article
Language:Russian
Published: Plekhanov Russian University of Economics 2017-09-01
Series:Вестник Российского экономического университета имени Г. В. Плеханова
Subjects:
сфера исследований и инноваций
системы регрессионных уравнений
модели краткосрочного прогноза
ретроверификация прогноза
система нейросетевых моделей
система гибридных моделей
Online Access:https://vest.rea.ru/jour/article/view/281

Internet

https://vest.rea.ru/jour/article/view/281

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