Abstracting and IndexingРИНЦReferativny Zhurnal VINITI RAS Worldcat Google Scholar Online availableEastvieweLIBRARY.RU Biblioclub |
Neural networks modeling in the activity analysis of the largest companies of Russian Federation
Available online: 8 October 2010 Subject Heading: Economic-mathematical modelling JEL Classification:
The results of Neural Networks modeling of activity of 400 largest companies of the Russian Federation during 2005-2008 years are presented. The basis for researches is the annual rating of the largest companies of Russia on volume of realization of production, published in journal “Expert”. The main tools of researches - self-organizing Kohonen maps in package Viscovery SOMine. The analysis of self-organizing Kohonen maps has allowed to determine dynamics of development of various branches of economy and to reveal branches which companies possess prospects of growth. Keywords: economic growth, social-economic development, neural networks, financial and economic activity, largest companies of Russia, innovations |
ISSN 2311-8725 (Online)
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