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  5. VOL 42, NO 2 (2020)
  6. pp. 109-120

ARTIFICIAL NEURAL NETWORKS FOR MODELING OF CRISIS MANAGEMENT OF NATIONAL ECONOMY

N.Ya. Savka

Èlektron. model. 2020, 42(2):109-120
https://doi.org/10.15407/emodel.42.02.109

ABSTRACT

The artificial neural networks with radial basis functions has been analyzed as the most effective for modeling processes with deep instability. The algorithm of tuning parameters of artificial radial-type neural networks has been described as well as the priorities of the crisis management of the national economy. The optimal architecture of artificial neural networks has been developed, the basic functions of which are radial for the crisis management of the national economy system modeling. The result of modeling of crisis management indicators, based on the developed architecture of artificial neural network, has been presented. The efficiency of using artificial radial-type neural networks for crisis prevention has been investigated.

KEYWORDS

artificial neural networks, radial basis functions, crisis management, modeling.

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