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
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
RIV identification code
RIV/75081431:_____/19:00002430
Organization unit
Institute of Technology and Business in České Budějovice
Keywords in English
Artificial neural networks; regression analysis; time series; export; prediction
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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