Machine learning forecasting of CR and PRC balance of trade
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31110%2F20%3A00055745" target="_blank" >RIV/61384399:31110/20:00055745 - isvavai.cz</a>
Alternative codes found
RIV/75081431:_____/20:00002077
Result on the web
<a href="https://www.shs-conferences.org/articles/shsconf/pdf/2020/01/shsconf_ies_2019_01004.pdf" target="_blank" >https://www.shs-conferences.org/articles/shsconf/pdf/2020/01/shsconf_ies_2019_01004.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1051/shsconf/20207301004" target="_blank" >10.1051/shsconf/20207301004</a>
Alternative languages
Result language
angličtina
Original language name
Machine learning forecasting of CR and PRC balance of trade
Original language description
Main topics of the document: international trade; artificial neural networks; prediction; trade balance; seasonal fluctuations
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
50602 - Public administration
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
SHS Web of Conferences: Innovative Economic Symposium 2019 - Potential of Eurasian Economic Union (IES2019)
ISBN
978-2-7598-9094-1
ISSN
2261-2424
e-ISSN
2261-2424
Number of pages
16
Pages from-to
"nestrankovano"
Publisher name
EDP Sciences
Place of publication
Les Ulis
Event location
České Budějovice
Event date
Nov 7, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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