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Please use this identifier to cite or link to this item: http://ds.knu.edu.ua/jspui/handle/123456789/3082
Title: Neural Network Analytics and Forecasting the Country's Business Climate in Conditions of the Coronavirus Disease (Covid-19)
Authors: Semerikov, Serhii
Семеріков, Сергій Олексійович
Семериков, Сергей Алексеевич
Kucherova, Hanna
Los, Vita
Ocheretin, Dmytro
Keywords: business climate
business confidence index
correlation analysis
socio-economic indicators
taxonomic model
neural network model
COVID-19
Issue Date: 2020
Publisher: Stylos
Citation: Neural network analytics and forecasting the country's business climate in conditions of the coronavirus disease (COVID-19) / Serhiy Semerikov, Hanna Kucherova, Vita Los, Dmytro Ocheretin // Information Technology and Interactions (Satellite) : conference proceedings, December 04, 2020, Kyiv, Ukraine. – Kyiv : Stylos, 2020. – P. 42–45.
Abstract: The paper proposes an approach to modeling the business climate of the country, which is based on the principles of information transparency, and makes it possible to assess the development trends of the studied indicator in conditions of the COVID-19. This approach has been tested on the example of Ukraine. The results obtained make it possible to analyze the cyclical development of the country's economy with high accuracy and reliability even under quarantine restrictions.
URI: http://ds.knu.edu.ua/jspui/handle/123456789/3082
ISBN: 978-966-2399-61-5
Appears in Collections:Кафедра професійної та соціально-гуманітарної освіти
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