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

Tags

BPE_MAE, RIV21, WOS
Změněno: 15/6/2021 11:24, Mgr. Nikola Petříková

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.
Displayed: 4/11/2024 21:53