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@inproceedings{48541, author = {Machová, Veronika and Mareček, Jan}, 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/20196101012}, editor = {Horák, J.}, keywords = {artificial neural networks; exchange rate; time series; prediction; Czech crown; 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 Czech Koruna to Chinese Yuan exchange rate using artificial neural networks}, year = {2019} }
TY - JOUR ID - 48541 AU - Machová, Veronika - Mareček, Jan PY - 2019 TI - Estimation of the development of Czech Koruna to Chinese Yuan exchange rate using artificial neural networks PB - EDP Sciences CY - Les Ulis, France SN - 9782759890637 KW - artificial neural networks KW - exchange rate KW - time series KW - prediction KW - Czech crown KW - Yuan N2 - The aim of this article is to analyze the exchange rate development of two currencies by analyzing time series through artificial neural networks. Experimental results show that neural networks are potentially usable and effective for exchange rate prediction. ER -
MACHOVÁ, Veronika and Jan MAREČEK. Estimation of the development of Czech Koruna 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. p.~nestránkováno, 10 pp. ISBN~978-2-7598-9063-7. doi:10.1051/shsconf/20196101012. 2019.
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