Další formáty:
BibTeX
LaTeX
RIS
@inproceedings{58361, author = {Šuleř, Petr and Mareček, Jan}, address = {Les Ulis, France}, booktitle = {SHS Web of Conferences: Innovative Economic Symposium - Potential of Eurasian Economic Union (IES)}, edition = {73}, editor = {Horák, J., Vrbka, J., Rowland, Z.}, keywords = {machine prediction; trade war; sanctions; international trade}, howpublished = {tištěná verze "print"}, language = {eng}, location = {Les Ulis, France}, isbn = {978-2-7598-9094-1}, pages = {nestránkováno}, publisher = {EDP Sciences}, title = {Machine prediction of US imports from the PRC in the context of mutual sanctions}, url = {https://www.shs-conferences.org/articles/shsconf/pdf/2020/01/shsconf_ies_2019_01027.pdf}, year = {2020} }
TY - JOUR ID - 58361 AU - Šuleř, Petr - Mareček, Jan PY - 2020 TI - Machine prediction of US imports from the PRC in the context of mutual sanctions PB - EDP Sciences CY - Les Ulis, France SN - 9782759890941 KW - machine prediction KW - trade war KW - sanctions KW - international trade UR - https://www.shs-conferences.org/articles/shsconf/pdf/2020/01/shsconf_ies_2019_01027.pdf N2 - 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. ER -
ŠULEŘ, Petr a Jan MAREČEK. Machine prediction of US imports from the PRC in the context of mutual sanctions. In Horák, J., Vrbka, J., Rowland, Z. \textit{SHS Web of Conferences: Innovative Economic Symposium - Potential of Eurasian Economic Union (IES)}. 73. vyd. Les Ulis, France: EDP Sciences. s.~nestránkováno, 18 s. ISBN~978-2-7598-9094-1. 2020.
|