D
2020
Using RBF neural networks to identify relationship between development of oil prices in world market and value of Chinese currency
HORÁK, Jakub; Jaromír VRBKA and Tomáš KRULICKÝ
Basic information
Original name
Using RBF neural networks to identify relationship between development of oil prices in world market and value of Chinese currency
Edition
73. vyd. Les Ulis, Francie, SHS Web of Conferences: Innovative Economic Symposium - Potential of Eurasian Economic Union (IES), p. nestránkováno, 12 pp. 2020
Other information
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"
RIV identification code
RIV/75081431:_____/20:00002072
Organization unit
Institute of Technology and Business in České Budějovice
Keywords in English
RBF neural networks; value; oil prices; exchange rate
In the original language
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.
Displayed: 15/11/2025 16:24