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

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

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

Language

English

Type of outcome

Stať ve sborníku

Field of Study

50200 5.2 Economics and Business

Country of publisher

France

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

References:

URL

RIV identification code

RIV/75081431:_____/20:00002072

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

Abstract

V originále

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.

Files attached

Using_RBF_neural_networks_to_identify_relationship_between_development_of_oil_prices_in_world_market_and_value_of_Chinese_currency.pdf

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Citovat

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.

@inproceedings{58322,
   author = {Horák, Jakub and Vrbka, Jaromír and Krulický, Tomáš},
   address = {Les Ulis, Francie},
   booktitle = {SHS Web of Conferences: Innovative Economic Symposium - Potential of Eurasian Economic Union (IES)},
   edition = {73},
   editor = {Horák, J., Vrbka, J., Rowland, Z.},
   keywords = {RBF neural networks; value; oil prices; exchange rate},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Les Ulis, Francie},
   isbn = {978-2-7598-9094-1},
   pages = {nestránkováno},
   publisher = {EDP Sciences},
   title = {Using RBF neural networks to identify relationship between development of oil prices in world market and value of Chinese currency},
   url = {https://www.shs-conferences.org/articles/shsconf/pdf/2020/01/shsconf_ies_2019_01008.pdf},
   year = {2020}
}

TY  - JOUR
ID  - 58322
AU  - Horák, Jakub - Vrbka, Jaromír - Krulický, Tomáš
PY  - 2020
TI  - Using RBF neural networks to identify relationship between development of oil prices in world market and value of Chinese currency
PB  - EDP Sciences
CY  - Les Ulis, Francie
SN  - 9782759890941
KW  - RBF neural networks
KW  - value
KW  - oil prices
KW  - exchange rate
UR  - https://www.shs-conferences.org/articles/shsconf/pdf/2020/01/shsconf_ies_2019_01008.pdf
N2  - 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.
ER  -

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. \textit{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.

Detailed Information on Publication Record