| HORÁK, Jakub, Petr ŠULEŘ a Jaromír VRBKA. Comparison of neural networks and regression time series when predicting the export development from the USA to PRC. Online. In Viktorija Skvarciany, Jelena Stankeviciene, Raimonda Martinkute-Kauliene, Izolda Joksiene, Alma Maciulyte-Sniukiene, Andrius Tamosiunas, Sigitas Mitkus, Daiva Jureviciene, Algita Miecinskiene, Ilona Skackauskiene, Vida Davidaviciene. International Scientific Conference Contemporary Issues In Business, Management and Economics Engineering’2019. Vilnius, Litva: Vilnius Gediminas Technical University, 2019, s. 170-180, 899 s. ISBN 978-609-476-162-1. |
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@inproceedings{65041,
author = {Horák, Jakub and Šuleř, Petr and Vrbka, Jaromír},
address = {Vilnius, Litva},
booktitle = {International Scientific Conference Contemporary Issues In Business, Management and Economics Engineering’2019},
editor = {Viktorija Skvarciany, Jelena Stankeviciene, Raimonda Martinkute-Kauliene, Izolda Joksiene, Alma Maciulyte-Sniukiene, Andrius Tamosiunas, Sigitas Mitkus, Daiva Jureviciene, Algita Miecinskiene, Ilona Skackauskiene, Vida Davidaviciene},
keywords = {Artificial neural networks; regression analysis; time series; export; prediction},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Vilnius, Litva},
isbn = {978-609-476-162-1},
pages = {170-180},
publisher = {Vilnius Gediminas Technical University},
title = {Comparison of neural networks and regression time series when predicting the export development from the USA to PRC},
url = {http://cibmee.vgtu.lt/index.php/verslas/2019/paper/view/428},
year = {2019}
}
TY - JOUR
ID - 65041
AU - Horák, Jakub - Šuleř, Petr - Vrbka, Jaromír
PY - 2019
TI - Comparison of neural networks and regression time series when predicting the export development from the USA to PRC
PB - Vilnius Gediminas Technical University
CY - Vilnius, Litva
SN - 9786094761621
KW - Artificial neural networks
KW - regression analysis
KW - time series
KW - export
KW - prediction
UR - http://cibmee.vgtu.lt/index.php/verslas/2019/paper/view/428
N2 - The authors aim is to examine the relationship between interest rates of ten-year government bonds and selected macroeconomic indicators. In order to meet the objective of this contribution, the following is used: gross domestic product, inflation and unemployment. Regression using artificial neural networks is used as the basic method.
ER -
HORÁK, Jakub, Petr ŠULEŘ a Jaromír VRBKA. Comparison of neural networks and regression time series when predicting the export development from the USA to PRC. Online. In Viktorija Skvarciany, Jelena Stankeviciene, Raimonda Martinkute-Kauliene, Izolda Joksiene, Alma Maciulyte-Sniukiene, Andrius Tamosiunas, Sigitas Mitkus, Daiva Jureviciene, Algita Miecinskiene, Ilona Skackauskiene, Vida Davidaviciene. \textit{International Scientific Conference Contemporary Issues In Business, Management and Economics Engineering’2019}. Vilnius, Litva: Vilnius Gediminas Technical University, 2019, s.~170-180, 899 s. ISBN~978-609-476-162-1.
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