HORÁK, Jakub, Jaromír VRBKA and Tomáš KRULICKÝ. Using RBF neural networks to identify relationship between development of oil prices in world market and value of Chinese currency. In Horák, J., Vrbka, J., Rowland, Z. SHS Web of Conferences: Innovative Economic Symposium - Potential of Eurasian Economic Union (IES). 73rd ed. Les Ulis, Francie: EDP Sciences, 2020. p. nestránkováno, 12 pp. ISBN 978-2-7598-9094-1.
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Basic information
Original name Using RBF neural networks to identify relationship between development of oil prices in world market and value of Chinese currency
Authors HORÁK, Jakub (203 Czech Republic, guarantor, belonging to the institution), Jaromír VRBKA (203 Czech Republic, belonging to the institution) and Tomáš KRULICKÝ (203 Czech Republic, belonging to the institution).
Edition 73. vyd. Les Ulis, Francie, SHS Web of Conferences: Innovative Economic Symposium - Potential of Eurasian Economic Union (IES), p. nestránkováno, 12 pp. 2020.
Publisher EDP Sciences
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 50200 5.2 Economics and Business
Country of publisher France
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
WWW URL
Organization unit Institute of Technology and Business in České Budějovice
ISBN 978-2-7598-9094-1
UT WoS 000648964700008
Keywords in English RBF neural networks; value; oil prices; exchange rate
Tags BPE_MAE, RIV21, WOS
Changed by Changed by: Mgr. Nikola Vyhlidalová, učo 28324. Changed: 15/6/2021 11:24.
Abstract
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.
PrintDisplayed: 29/11/2021 10:30