| HORÁK, Jakub, Petr ŠULEŘ and 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, p. 170-180, 899 pp. 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 and 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, p.~170-180, 899 pp. ISBN~978-609-476-162-1.
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