Machine prediction of US imports from the PRC in the context of mutual sanctions

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F20%3A00002074" target="_blank" >RIV/75081431:_____/20:00002074 - isvavai.cz</a>
Result on the web
<a href="https://www.shs-conferences.org/articles/shsconf/pdf/2020/01/shsconf_ies_2019_01027.pdf" target="_blank" >https://www.shs-conferences.org/articles/shsconf/pdf/2020/01/shsconf_ies_2019_01027.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Machine prediction of US imports from the PRC in the context of mutual sanctions
Original language description
Authors aim is to mechanically predict the import of the United States of America (USA) from the People's Republic of China (PRC). The trade restrictions of the USA and the PRC caused by the USAfeeling of imbalance of trade between the two states have significantly influenced not only the trade between the two players, but also the overall climate of international trade. The result of this paper is the finding that multilayer perceptron networks (MLP) appear to be an excellent tool for predicting USA imports from the PRC.
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
18
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
000648964700027

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