Yurii Koroliuk

Work place: Department of Economic Cybernetics and International Economic Relations, Chernivtsi Institute of Trade and Economics KNUTE, Chernivtsi, Ukraine

E-mail: yu_kor@ukr.net


Research Interests: Data Mining, Social Information Systems, Data Structures and Algorithms, Analysis of Algorithms


Yurii Koroliuk is the professor of Department of Economic Cybernetics and International Economic Relations, ChITE KNUTE, Chernivtsi, Ukraine. He graduated from Yuriy Fedkovych Chernivtsi National University in 2001. In 2004 Koroliuk received Ph.D. in Physics and Mathematics, in 2012 received Doctor Science of Public Administration. He has published over 100 articles in both reputable national and international journals and conferences. The area of scientific interests is the problem: the study of complex systems; management of socio-economic development of regions; applied system analysis of economic and social systems; Data Mining and ANN technology.

Author Articles
ANN Model of Border Regions Development: Approach of Closed Systems

By Yurii Koroliuk Valentyn Hryhorenko

DOI: https://doi.org/10.5815/ijisa.2019.09.01, Pub. Date: 8 Sep. 2019

In this article we have suggested a new method of regional systems study that is based on model environmental influences isolation on their parameters dynamics. The presented model deepens greatly the investigation process of complex systems and allows defining clearly its functioning peculiarities without significant reduction in number of system characteristics as if we have simple technical or physical objects of knowledge. The described method, together with the statistical control data, is used for other social and economic objects research.
The successful model testing in the form of artificial neural network model of Chernivtsi region static parameters has revealed the peculiarities of its interaction with European neighbors. In particular, for the first time we have defined their contribution to the increase of some social and economic indices on the period 2005-2015, that cannot be explained by other methods, such as correlation and regressive analysis. Applied use of the isolated investigation idea of the complex meso level systems together with the technology of data mining allows solving many actual tasks nominated by the regional administration practical workers.

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