Comparison of neural networks and regression time series when
predicting the export development from the USA to PRC

D 2019

Comparison of neural networks and regression time series when predicting the export development from the USA to PRC

HORÁK, Jakub, Petr ŠULEŘ and Jaromír VRBKA

Basic information

Original name

Comparison of neural networks and regression time series when predicting the export development from the USA to PRC

Authors

HORÁK, Jakub (203 Czech Republic, guarantor, belonging to the institution), Petr ŠULEŘ (203 Czech Republic, belonging to the institution) and Jaromír VRBKA (203 Czech Republic, belonging to the institution)

Edition

Vilnius, Litva, International Scientific Conference Contemporary Issues In Business, Management and Economics Engineering’2019, p. 170-180, 899 pp. 2019

Publisher

Vilnius Gediminas Technical University

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

50200 5.2 Economics and Business

Country of publisher

Lithuania

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

References:

URL

RIV identification code

RIV/75081431:_____/19:00002430

Organization unit

Institute of Technology and Business in České Budějovice

ISBN

978-609-476-162-1

Keywords in English

Artificial neural networks; regression analysis; time series; export; prediction

Abstract

V originále

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.

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Citovat

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.

@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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