Comparison of neural networks and regression time series when predicting the export development from the USA to PRC
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F19%3A00002430" target="_blank" >RIV/75081431:_____/19:00002430 - isvavai.cz</a>
Result on the web
<a href="http://cibmee.vgtu.lt/index.php/verslas/2019/paper/view/428" target="_blank" >http://cibmee.vgtu.lt/index.php/verslas/2019/paper/view/428</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Comparison of neural networks and regression time series when predicting the export development from the USA to PRC
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50200 - Economics and Business
Result continuities
Project
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Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
International Scientific Conference Contemporary Issues In Business, Management and Economics Engineering’2019
ISBN
9786094761621
ISSN
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e-ISSN
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Number of pages
899
Pages from-to
170-180
Publisher name
Vilnius Gediminas Technical University
Place of publication
Vilnius, Litva
Event location
Vilnius, Litva
Event date
May 9, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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