Please use this identifier to cite or link to this item: http://rps.chtei-knteu.cv.ua:8585/jspui/handle/123456789/2418
Title: ANN Model of Border Regions Development: Approach of Closed Systems
Authors: Koroliuk, Yurii
Hryhorenko, Valentyn
Keywords: system approach
regional social and economic system
data mining
neural network
Issue Date: Sep-2019
Publisher: Koroliuk Y. ANN MODEL OF BORDER REGIONS DEVELOPMENT: APPROACH OF CLOSED SYSTEMS / Y. Koroliuk, V. Hryhorenko // International Journal of Intelligent Systems and Applications (IJISA). – 2019. – Vol.11(9). – P. 1–8. – DOI: 10.5815/ijisa.2019.09.0.
Citation: DOI: 10.5815/ijisa.2019.09.0
Abstract: 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.
URI: http://rps.chtei-knteu.cv.ua:8585/jspui/handle/123456789/2418
Appears in Collections:06.39.41 Теорії менеджменту

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