Machine learning forecasting of USA and PRC balance of trade in
context of mutual sanctions

D 2020

Machine learning forecasting of USA and PRC balance of trade in context of mutual sanctions

ROWLAND, Zuzana, Jaromír VRBKA a Marek VOCHOZKA

Základní údaje

Originální název

Machine learning forecasting of USA and PRC balance of trade in context of mutual sanctions

Autoři

ROWLAND, Zuzana (203 Česká republika, garant, domácí), Jaromír VRBKA (203 Česká republika, domácí) a Marek VOCHOZKA (203 Česká republika, domácí)

Vydání

73. vyd. Les Ulis, France, SHS Web of Conferences: Innovative Economic Symposium - Potential of Eurasian Economic Union (IES), od s. nestránkováno, 16 s. 2020

Nakladatel

EDP Sciences

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

50200 5.2 Economics and Business

Stát vydavatele

Francie

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

tištěná verze "print"

Odkazy

URL

Kód RIV

RIV/75081431:_____/20:00002075

Organizační jednotka

Vysoká škola technická a ekonomická v Českých Budějovicích

ISBN

978-2-7598-9094-1

UT WoS

000648964700025

Klíčová slova anglicky

forecasting; trade balance; machine learning; mutual sanctions; artificial neural networks

Štítky

BPE_MAE, RIV21, WOS

Změněno: 16. 6. 2021 08:20, Mgr. Nikola Petříková

Anotace

V originále

Authors aim is to examine and subsequently equalize two time series –the USA import from the PRC and the USA export to the PRC. The dataset shows the course of the time series at monthly intervals between January 2000 and July 2019. 10,000 multilayer perceptron networks (MLP) are generated, out of which 5 with the best characteristics are retained. It has been proved that multilayer perceptron networks are a suitable tool for forecasting the development of the time series if there are no sudden fluctuations.

Přiložené soubory

Machine_learning_forecasting_of_USA_and_PRC_balance_of_trade_in_context_of_mutual_sanctions.pdf

Požádat o autorskou verzi souboru

Citovat

ROWLAND, Zuzana, Jaromír VRBKA a Marek VOCHOZKA. Machine learning forecasting of USA and PRC balance of trade in context of mutual sanctions. In Horák, J., Vrbka, J., Rowland, Z. SHS Web of Conferences: Innovative Economic Symposium - Potential of Eurasian Economic Union (IES). 73. vyd. Les Ulis, France: EDP Sciences, 2020, s. nestránkováno, 16 s. ISBN 978-2-7598-9094-1.

@inproceedings{58381,
   author = {Rowland, Zuzana and Vrbka, Jaromír and Vochozka, Marek},
   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 = {forecasting; trade balance; machine learning; mutual sanctions; artificial neural networks},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Les Ulis, France},
   isbn = {978-2-7598-9094-1},
   pages = {nestránkováno},
   publisher = {EDP Sciences},
   title = {Machine learning forecasting of USA and PRC balance of trade in context of mutual sanctions},
   url = {https://www.shs-conferences.org/articles/shsconf/pdf/2020/01/shsconf_ies_2019_01025.pdf},
   year = {2020}
}

TY  - JOUR
ID  - 58381
AU  - Rowland, Zuzana - Vrbka, Jaromír - Vochozka, Marek
PY  - 2020
TI  - Machine learning forecasting of USA and PRC balance of trade in context of mutual sanctions
PB  - EDP Sciences
CY  - Les Ulis, France
SN  - 9782759890941
KW  - forecasting
KW  - trade balance
KW  - machine learning
KW  - mutual sanctions
KW  - artificial neural networks
UR  - https://www.shs-conferences.org/articles/shsconf/pdf/2020/01/shsconf_ies_2019_01025.pdf
N2  - Authors aim is to examine and subsequently equalize two time series –the USA import from the PRC and the USA export to the PRC. The dataset shows the course of the time series at monthly intervals between January 2000 and July 2019. 10,000 multilayer perceptron networks (MLP) are generated, out of which 5 with the best characteristics are retained. It has been proved that multilayer perceptron networks are a suitable tool for forecasting the development of the time series if there are no sudden fluctuations.
ER  -

ROWLAND, Zuzana, Jaromír VRBKA a Marek VOCHOZKA. Machine learning forecasting of USA and PRC balance of trade in 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, 2020, s.~nestránkováno, 16 s. ISBN~978-2-7598-9094-1.

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