Correlational research of investment potential indicators of Ukraine on the basis of maps of self-organization

Ihor Victorovych Miroshnychenko


The approach to studying and analyzing the relationship between indicators of investment potential of Ukraine is considered. Mathematical model is constructed. It is based on using of artificial neural networks - namely Kohonen self-organizing maps. The study singles out seven clusters, each of which describes the relationship between different groups of indicators in the structure of the investment potential of Ukraine. The analysis of the dynamics of change and relationship based on self- built map is carried out. A choice of normalization method of input parameters, according to which each component of the input vector is divided into length is proposed. The study proved its adequacy and effectiveness within this topic. The use of the mentioned approach for the prediction performance of the investment potential of Ukraine in order to support decision-making is offered.


investment; potential; artificial neural network; Kohonen’s maps; self-organization; dynamics

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Pavlova, S. (2007). Investment and Construction Company: evaluation of the structure of the investment potential [Investitsionno-stroitelnaia kompaniia: otsenka struktury investitsionnogo potentsiala]. Creative Economy, 4, 151-154.

Ulturgasheva, O., Lavrenko A., Profatilov D. (2011). Economic essence and the structure of the region’s investment potential [Ekonomicheskaia sushchnost i struktura investitsionnoho potetsiala rehiona]. Problems of Modern Economics, 1 (37), 227-229.

Layko, A. (2011). Ways of the country and regions investment potential renewal [Shlakhy vidtvorennia investytsiynoho potentsialu krainy ta rehioniv]. Economic Innovation, 42, 129-139.

Kaski, S. & Kohonen, T. (1996). Exploratory data analysis by the Self-organizing map: Structures of welfare and poverty in the world. Neural Networks in Financial Engineering, 498-507.

Velykoivanenko, H. & Miroshnychenko, I. (2012). A Hierarchical logical-linguistic model of evaluation of Ukraine investment potential taking into account risk. [Iierarkhichna lohiko-linhvistychna model otsiniuvannia investytsiynoho potentsialu Ukrainy z urakhuvanniam ryzyku] .The Culture of the Black Sea Region folks, 231, 14-18.

Kohonen, Т. (2001). Self-organizing maps (3d ed. ). New-York: Springer.

Haykin, S. (1999). Neural Networks: A Comprehensive Foundation (2nd ed. ). New Jersey: Prentice-Hall.

Wasserman, Ph. (1989). Neural Computing: Theory and Practice. New-York: Van Nostrand Reinhold.

Vitlinskiy, V., Verchenko, P., Segal, A., Nakonechniy, J. (2002). Economic risk: game models [Ekonomichnyi ryzyk: ihrovi modeli]. Kyiv: KNEU.

SSSU (n. d.) Statistical information. State Statistics Service of Ukraine. Retrieved October 1, 2013, from

The World Bank (n. d.) Statistical information. Ukraine | Data. Retrieved October 1, 2013, from

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Science Works Journal "Ekonomichnyy analiz"

ISSN 1993-0259 (Print)  ISSN 2219-4649 (Online) DOI: 10.35774/econa

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