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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