Economic Analysis: Theory and Practice

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Economic Analysis: Theory and Practice

35(242) - 2011 September

Neuronet modeling financial and economic activity of the largest companies of the Volga region

ISSUE 35, SEPTEMBER 2011

Available online: 5 October 2011

Subject Heading: ASSESSMENT OF THE POTENTIAL OF THE REGION

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Kuznetsov Y.А. Doctor of physics-mathematical sciences, professor, head of the department of mathematical modeling of economic systems, Nizhny Novgorod state university named after N.I. Lobachevsky - National Research University
Yu-Kuzn@mm.unn.ru

Perova V.I. Associate professor of physics-mathematical sciences,, associate professor of chair of mathematical modeling of economic systems, Nizhny Novgorod state university named after N.I. Lobachevsky - National research university
mmes@mm.unn.ru

Vorobieva Е.V. Student of chair of mathematical modeling of economic systems, Nizhny Novgorod state university named after N.I. Lobachevsky - National Research University
vkaterinav8@gmail.com

Using neural network techniques for the modelling economic data is analyzed the activities of the largest companies in Volga region. The research tool is the self-organizing cards. These cards allowed to determine the dynamics of the various sectors of the economy in the regions of the Volga region and to identify regions with the greatest potential.

Keywords: economic growth, development, neural networks, financial-economic activities, the company, the Volga region, innovation

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

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