VOCHOZKA, Marek and Jaromír VRBKA. Estimation of the development of the Euro to Chinese Yuan exchange rate using artificial neural networks. In Horák, J. SHS Web of Conferences: Innovative Economic Symposium 2018 - Milestones and Trends of World Economy (IES2018). Les Ulis, France: EDP Sciences, 2019, p. nestránkováno, 10 pp. ISBN 978-2-7598-9063-7. Available from: https://dx.doi.org/10.1051/shsconf/20196101030. |
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@inproceedings{48521, author = {Vochozka, Marek and Vrbka, Jaromír}, address = {Les Ulis, France}, booktitle = {SHS Web of Conferences: Innovative Economic Symposium 2018 - Milestones and Trends of World Economy (IES2018)}, doi = {http://dx.doi.org/10.1051/shsconf/20196101030}, editor = {Horák, J.}, keywords = {time series; analysis; exchange rate; EUR; Yuan}, howpublished = {tištěná verze "print"}, language = {eng}, location = {Les Ulis, France}, isbn = {978-2-7598-9063-7}, pages = {nestránkováno}, publisher = {EDP Sciences}, title = {Estimation of the development of the Euro to Chinese Yuan exchange rate using artificial neural networks}, year = {2019} }
TY - JOUR ID - 48521 AU - Vochozka, Marek - Vrbka, Jaromír PY - 2019 TI - Estimation of the development of the Euro to Chinese Yuan exchange rate using artificial neural networks PB - EDP Sciences CY - Les Ulis, France SN - 9782759890637 KW - time series KW - analysis KW - exchange rate KW - EUR KW - Yuan N2 - This article analyzes the time series of the development of EUR to Yuan exchange rate using artificial intelligence. It aims to evaluate this development and to indicate the prediction of the future development of EUR to Yuan. ER -
VOCHOZKA, Marek and Jaromír VRBKA. Estimation of the development of the Euro to Chinese Yuan exchange rate using artificial neural networks. In Horák, J. \textit{SHS Web of Conferences: Innovative Economic Symposium 2018 - Milestones and Trends of World Economy (IES2018)}. Les Ulis, France: EDP Sciences, 2019, p.~nestránkováno, 10 pp. ISBN~978-2-7598-9063-7. Available from: https://dx.doi.org/10.1051/shsconf/20196101030.
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