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Economic Analysis: Theory and Practice
 

Neural networks modeling in the activity analysis of the largest companies of Russian Federation

Vol. 9, Iss. 31, OCTOBER 2010

Available online: 8 October 2010

Subject Heading: Economic-mathematical modelling

JEL Classification: 

Kuznetsov Yu.A. doctor of physical-mathematical sciences, профессор, professor, head of chair the mathematical modeling of economic systems, Nizhny Novgorod state university N.I. Lobachevsky
Yu-Kuzn@mm.unn.ru

Perova V.I. candidate of physical-mathematical sciences, associate professor of chair the mathematical modeling of economic systems, Nizhny Novgorod state university N.I. Lobachevsky
mmes@mm.unn.ru

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

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ISSN 2311-8725 (Online)
ISSN 2073-039X (Print)

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