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Neuromathematics as an effective tool for forecasting social development of Russian regions

In the context of the national economic turbulence, it becomes important to forecast the social development of constituent entities of the Russian Federation. In order to provide highly accurate forecasting, neural network technologies are used in the research (a Bayesian assembly of the dynamic neu...

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Autors principals: R.V. Gubarev, E.I. Dzyuba
Format: Artigo
Idioma:Inglês
Publicat: Kazan Federal University 2019-06-01
Col·lecció:Учёные записки Казанского университета: Серия Физико-математические науки
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Accés en línia:https://kpfu.ru/uz-eng-phm-2019-2-11.html
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