Artificial Neural Networks with Radial-Basis Transmission Functions for Modelling Economic Phenomena and Processes
Ładowanie...
Data
2021
Inny tytuł
Typ
Artykuł recenzyjny
Autorzy
Redaktor
dc.contributor.advisor
Dyscyplina PBN
Ekonomia i finanse
Czasopismo lub seria
EUROPEAN RESEARCH STUDIES JOURNAL
ISSN
1108-2976
ISBN
DOI
10.35808/ersj/2215
Strona internetowa
Wydawca
Wydawca
Wydanie
Numer
Strony od-do
Tytuł monografii
item.page.defence
Tytuł tomu
Opis
Rodzaj licencji
Abstrakt (en)
Purpose: The paper presents the possibility of using artificial neural networks (ANN) with
radial-basis transmission function (RBF) for modeling economic phenomena and processes.
Design/Methodology/Approach: The basic characteristics and parameters of an ANN with
RBF are shown and the advantages of using this type of ANN for modeling economic
phenomena and processes are emphasized. Using an ANN with RBF, together with official
statistics for 2010-2017, the modeling of the influence caused by work efficiency indicators
of the customs authorities of Ukraine on the indicators of economic security of Ukraine was
carried out. These eighteen indicators of economic security of Ukraine, which
comprehensively characterize the economic status of the country in terms of production,
social, financial, food, transport, energy, and foreign economic security, were chosen as the
most informative indicators.
Findings: The results of the study showed that Artificial neural networks with Radial-basis
transmission function well describe the trend of changing state economic security indicators
under the influence of changing performance indicators of customs authorities. This allows
us to recommend this type of artificial neural networks for analysis, evaluation and
forecasting of economic phenomena and processes.
Practical Implications: The influence of the efficiency of fiscal bodies on the main indicators
of economic security of the state is proved. The analytical and prognostic properties of ANN
with RBF for estimating the relationships between economic phenomena and processes,
under the conditions of non-stationary processes and nonlinearity of relationships between
indicators, are shown.
Originality/Value: The results obtained showed good analytical and prognostic properties of
an ANN with RBF when modeling the impact of customs authorities' performance on the
state's economic security indicators.