VRBKA, Jaromír and Marek VOCHOZKA. Considering seasonal fluctuations on balancing time series with the use of artificial neural networks when forecasting US imports from the PRC. In Horák, J., Vrbka, J., Rowland, Z. SHS Web of Conferences: Innovative Economic Symposium - Potential of Eurasian Economic Union (IES). 73rd ed. Les Ulis, France: EDP Sciences, 2020, p. nestránkováno, 12 pp. ISBN 978-2-7598-9094-1. |
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@inproceedings{58441, author = {Vrbka, Jaromír and Vochozka, Marek}, address = {Les Ulis, France}, booktitle = {SHS Web of Conferences: Innovative Economic Symposium - Potential of Eurasian Economic Union (IES)}, edition = {73}, editor = {Horák, J., Vrbka, J., Rowland, Z.}, keywords = {forecasting models; artificial neural networks; time series; development}, howpublished = {tištěná verze "print"}, language = {eng}, location = {Les Ulis, France}, isbn = {978-2-7598-9094-1}, pages = {nestránkováno}, publisher = {EDP Sciences}, title = {Considering seasonal fluctuations on balancing time series with the use of artificial neural networks when forecasting US imports from the PRC}, url = {https://www.shs-conferences.org/articles/shsconf/pdf/2020/01/shsconf_ies_2019_01033.pdf}, year = {2020} }
TY - JOUR ID - 58441 AU - Vrbka, Jaromír - Vochozka, Marek PY - 2020 TI - Considering seasonal fluctuations on balancing time series with the use of artificial neural networks when forecasting US imports from the PRC PB - EDP Sciences CY - Les Ulis, France SN - 9782759890941 KW - forecasting models KW - artificial neural networks KW - time series KW - development UR - https://www.shs-conferences.org/articles/shsconf/pdf/2020/01/shsconf_ies_2019_01033.pdf N2 - Authors aim is to propose a particular methodology to be used to regard seasonal fluctuations on balancing time series while using artificial neural networks based on the example ofimports from the People's Republic of China (PRC) to the USA(US). The difficulty of forecasting the volume of foreign trade is usually given by the limitations of many conventional forecasting models. For the improvement of forecasting it is necessary topropose an approach that would hybridize econometric models and artificial intelligence models. ER -
VRBKA, Jaromír and Marek VOCHOZKA. Considering seasonal fluctuations on balancing time series with the use of artificial neural networks when forecasting US imports from the PRC. In Horák, J., Vrbka, J., Rowland, Z. \textit{SHS Web of Conferences: Innovative Economic Symposium - Potential of Eurasian Economic Union (IES)}. 73rd ed. Les Ulis, France: EDP Sciences, 2020, p.~nestránkováno, 12 pp. ISBN~978-2-7598-9094-1.
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