ANN Model of Border Regions Development: Approach of Closed Systems

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Yurii Koroliuk 1,* Valentyn Hryhorenko 2

1. Department of Economic Cybernetics and International Economic Relations, Chernivtsi Institute of Trade and Economics KNUTE, Chernivtsi, Ukraine

2. Ukrainian Leadership Academy, Lviv, Ukraine

* Corresponding author.


Received: 29 Jun. 2019 / Revised: 26 Jul. 2019 / Accepted: 12 Aug. 2019 / Published: 8 Sep. 2019

Index Terms

System approach, regional social and economic system, data mining, neural network


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.

Cite This Paper

Yurii Koroliuk, Valentyn Hryhorenko, "ANN Model of Border Regions Development: Approach of Closed Systems", International Journal of Intelligent Systems and Applications(IJISA), Vol.11, No.9, pp.1-8, 2019. DOI:10.5815/ijisa.2019.09.01


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