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%2F75081431%3A_____%2F20%3A00002077" target="_blank" >RIV/75081431:_____/20:00002077 - isvavai.cz</a>
Alternative codes found
RIV/61384399:31110/20:00055745
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
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Alternative languages
Result language
angličtina
Original language name
Machine learning forecasting of CR and PRC balance of trade
Original language description
The authors aim is to use machine learning forecasting for predicting the balance of trade of the Czech Republic (CR) and the People´s Republic of China (PRC) through analysing and machine learning.
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
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 - Potential of Eurasian Economic Union (IES)
ISBN
9782759890941
ISSN
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e-ISSN
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Number of pages
16
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
000648964700004