Using RBF neural networks to identify relationship between development of oil prices in world market and value of Chinese currency

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F20%3A00002072" target="_blank" >RIV/75081431:_____/20:00002072 - isvavai.cz</a>
Result on the web
<a href="https://www.shs-conferences.org/articles/shsconf/pdf/2020/01/shsconf_ies_2019_01008.pdf" target="_blank" >https://www.shs-conferences.org/articles/shsconf/pdf/2020/01/shsconf_ies_2019_01008.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Using RBF neural networks to identify relationship between development of oil prices in world market and value of Chinese currency
Original language description
Authors aim is contribution is to identify a possible relationship between the development of the price of Brent oil (Brent in USD/barrel) and the CNY / USD Exchange rate by means of artificial neural networks.
Czech name
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Czech description
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Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
SHS Web of Conferences: Innovative Economic Symposium - Potential of Eurasian Economic Union (IES)
ISBN
9782759890941
ISSN
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e-ISSN
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Number of pages
12
Pages from-to
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Publisher name
EDP Sciences
Place of publication
Les Ulis, Francie
Event location
České Budějovice, Česká republika
Event date
Nov 7, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000648964700008

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