ROWLAND, Zuzana, Petr ŠULEŘ and Marek VOCHOZKA. Comparison of neural networks and regression time series in estimating the Czech Republic and China trade balance. 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, 13 pp. ISBN 978-2-7598-9063-7. Available from: https://dx.doi.org/10.1051/shsconf/20196101023. |
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@inproceedings{48701, author = {Rowland, Zuzana and Šuleř, Petr and Vochozka, Marek}, 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/20196101023}, editor = {Horák, J.}, keywords = {neural networks; regression analysis; comparison; trade balance; prediction}, howpublished = {tištěná verze "print"}, language = {eng}, location = {Les Ulis, France}, isbn = {978-2-7598-9063-7}, pages = {nestránkováno}, publisher = {EDP Sciences}, title = {Comparison of neural networks and regression time series in estimating the Czech Republic and China trade balance}, year = {2019} }
TY - JOUR ID - 48701 AU - Rowland, Zuzana - Šuleř, Petr - Vochozka, Marek PY - 2019 TI - Comparison of neural networks and regression time series in estimating the Czech Republic and China trade balance PB - EDP Sciences CY - Les Ulis, France SN - 9782759890637 KW - neural networks KW - regression analysis KW - comparison KW - trade balance KW - prediction N2 - The aim of this paper is to compare the accuracy of time series alignment by means of regression analysis and neural networks on the example of the trade balance of the Czech Republic and the People's Republic of China. This is a monthly balance starting in 2000 and ending in July 2018. ER -
ROWLAND, Zuzana, Petr ŠULEŘ and Marek VOCHOZKA. Comparison of neural networks and regression time series in estimating the Czech Republic and China trade balance. 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, 13 pp. ISBN~978-2-7598-9063-7. Available from: https://dx.doi.org/10.1051/shsconf/20196101023.
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