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 a Tomáš KRULICKÝ

Základní údaje

Originální název

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

Autoři

HORÁK, Jakub (203 Česká republika, garant, domácí), Jaromír VRBKA (203 Česká republika, domácí) a Tomáš KRULICKÝ (203 Česká republika, domácí)

Vydání

73. vyd. Les Ulis, Francie, SHS Web of Conferences: Innovative Economic Symposium - Potential of Eurasian Economic Union (IES), od s. nestránkováno, 12 s. 2020

Nakladatel

EDP Sciences

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

50200 5.2 Economics and Business

Stát vydavatele

Francie

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

tištěná verze "print"

Odkazy

URL

Kód RIV

RIV/75081431:_____/20:00002072

Organizační jednotka

Vysoká škola technická a ekonomická v Českých Budějovicích

ISBN

978-2-7598-9094-1

UT WoS

000648964700008

Klíčová slova anglicky

RBF neural networks; value; oil prices; exchange rate

Štítky

BPE_MAE, RIV21, WOS

Změněno: 15. 6. 2021 11:24, Mgr. Nikola Petříková

Anotace

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.

Přiložené soubory

Using_RBF_neural_networks_to_identify_relationship_between_development_of_oil_prices_in_world_market_and_value_of_Chinese_currency.pdf

Požádat o autorskou verzi souboru

Citovat

HORÁK, Jakub, Jaromír VRBKA a 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). 73. vyd. Les Ulis, Francie: EDP Sciences, 2020, s. nestránkováno, 12 s. 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 a 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)}. 73. vyd. Les Ulis, Francie: EDP Sciences, 2020, s.~nestránkováno, 12 s. ISBN~978-2-7598-9094-1.

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