Forecasting trade balance of Czech Republic and People´s Republic of China in equalizing time series and considering seasonal fluctuations

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F20%3A00002070" target="_blank" >RIV/75081431:_____/20:00002070 - isvavai.cz</a>
Result on the web
<a href="https://www.shs-conferences.org/articles/shsconf/pdf/2020/01/shsconf_ies_2019_01032.pdf" target="_blank" >https://www.shs-conferences.org/articles/shsconf/pdf/2020/01/shsconf_ies_2019_01032.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Forecasting trade balance of Czech Republic and People´s Republic of China in equalizing time series and considering seasonal fluctuations
Original language description
Authors aim is to introduce a methodology for considering seasonal fluctuations in equalizing time series using artificial neural networks on the example of the Czech Republic and the People ́s Republic of China trade balance. The data available is the data on monthly balance for the period between January 2000 and July 2018, that is, 223 input data. The unit is Euro. The data for the analysis are available on the World Bank web pages etc. Regression analysis is carried out using artificial neural networks.
Czech name
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Czech description
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Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
SHS Web of Conferences: Innovative Economic Symposium - Potential of Eurasian Economic Union (IES)
ISBN
9782759890941
ISSN
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e-ISSN
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Number of pages
14
Pages from-to
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Publisher name
EDP Sciences
Place of publication
Les Ulis, France
Event location
České Budějovice, Česká republika
Event date
Nov 7, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000648964700032

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