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

Tags

NE_MAE, RIV22
Změněno: 4/11/2022 07:51, Mgr. Nikola Petříková

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.
Displayed: 23/12/2024 16:57