Considering seasonal fluctuations on balancing time series with
the use of artificial neural networks when forecasting US
imports from the PRC

D 2020

Considering seasonal fluctuations on balancing time series with the use of artificial neural networks when forecasting US imports from the PRC

VRBKA, Jaromír a Marek VOCHOZKA

Základní údaje

Originální název

Considering seasonal fluctuations on balancing time series with the use of artificial neural networks when forecasting US imports from the PRC

Autoři

VRBKA, Jaromír (203 Česká republika, garant, 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, 12 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:_____/20:00002078

Organizační jednotka

Vysoká škola technická a ekonomická v Českých Budějovicích

ISBN

978-2-7598-9094-1

UT WoS

000648964700033

Klíčová slova anglicky

forecasting models; artificial neural networks; time series; development

Štítky

BPE_MAE, RIV21, WOS

Změněno: 16. 6. 2021 10:13, Mgr. Nikola Petříková

Anotace

V originále

Authors aim is to propose a particular methodology to be used to regard seasonal fluctuations on balancing time series while using artificial neural networks based on the example ofimports from the People's Republic of China (PRC) to the USA(US). The difficulty of forecasting the volume of foreign trade is usually given by the limitations of many conventional forecasting models. For the improvement of forecasting it is necessary topropose an approach that would hybridize econometric models and artificial intelligence models.

Přiložené soubory

Considering_seasonal_fluctuations_on_balancing_time_series_with_the_use_of_artificial_neural_networks_when_forecasting_US_imports_from_the_PRC_01033.pdf

Požádat o autorskou verzi souboru

Citovat

VRBKA, Jaromír a Marek VOCHOZKA. Considering seasonal fluctuations on balancing time series with the use of artificial neural networks when forecasting US imports from the PRC. 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, 12 s. ISBN 978-2-7598-9094-1.

@inproceedings{58441,
   author = {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 models; artificial neural networks; time series; development},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Les Ulis, France},
   isbn = {978-2-7598-9094-1},
   pages = {nestránkováno},
   publisher = {EDP Sciences},
   title = {Considering seasonal fluctuations on balancing time series with the use of artificial neural networks when forecasting US imports from the PRC},
   url = {https://www.shs-conferences.org/articles/shsconf/pdf/2020/01/shsconf_ies_2019_01033.pdf},
   year = {2020}
}

TY  - JOUR
ID  - 58441
AU  - Vrbka, Jaromír - Vochozka, Marek
PY  - 2020
TI  - Considering seasonal fluctuations on balancing time series with the use of artificial neural networks when forecasting US imports from the PRC
PB  - EDP Sciences
CY  - Les Ulis, France
SN  - 9782759890941
KW  - forecasting models
KW  - artificial neural networks
KW  - time series
KW  - development
UR  - https://www.shs-conferences.org/articles/shsconf/pdf/2020/01/shsconf_ies_2019_01033.pdf
N2  - Authors aim is to propose a particular methodology to be used to regard seasonal fluctuations on balancing time series while using artificial neural networks based on the example ofimports from the People's Republic of China (PRC) to the USA(US). The difficulty of forecasting the volume of foreign trade is usually given by the limitations of many conventional forecasting models. For the improvement of forecasting it is necessary topropose an approach that would hybridize econometric models and artificial intelligence models.
ER  -

VRBKA, Jaromír a Marek VOCHOZKA. Considering seasonal fluctuations on balancing time series with the use of artificial neural networks when forecasting US imports from the PRC. 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, 12 s. ISBN~978-2-7598-9094-1.

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