ANN model of border regions development: approach of closed systems
Автор: Yurii Koroliuk, Valentyn Hryhorenko
Статья в выпуске: 9 vol.11, 2019 года.
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.
System approach, regional social and economic system, data mining, neural network
Короткий адрес: https://readera.ru/15016618
IDR: 15016618 | DOI: 10.5815/ijisa.2019.09.01
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