Assessing the possibility of a country's economic growth using static Bayesian network models

Kód výsledku v IS VaVaI
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Výsledek na webu
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DOI - Digital Object Identifier
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Jazyk výsledku
angličtina
Název v původním jazyce
Assessing the possibility of a country's economic growth using static Bayesian network models
Popis výsledku v původním jazyce
This article is devoted to the use of Bayesian networks to analyze the possibility of economic growth in Ukraine. It was found that at the maximum level of external investment, direct investment in Ukraine will increase and this creates the conditions for increasing the country's economic growth. It has also been shown that Noisy-max nodes, compared to General nodes, provide a relatively high initial accuracy. General nodes require retesting. However, Noisy-max nodes entail an increase in time and computational cost.
Název v anglickém jazyce
Assessing the possibility of a country's economic growth using static Bayesian network models
Popis výsledku anglicky
This article is devoted to the use of Bayesian networks to analyze the possibility of economic growth in Ukraine. It was found that at the maximum level of external investment, direct investment in Ukraine will increase and this creates the conditions for increasing the country's economic growth. It has also been shown that Noisy-max nodes, compared to General nodes, provide a relatively high initial accuracy. General nodes require retesting. However, Noisy-max nodes entail an increase in time and computational cost.

Druh
D - Stať ve sborníku
CEP obor
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OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt
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Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Podobné výsledky(10)