Forecasting trade balance of Czech Republic and People´s
Republic of China in equalizing time series and considering
seasonal fluctuations

D 2020

Forecasting trade balance of Czech Republic and People´s Republic of China in equalizing time series and considering seasonal fluctuations

VOCHOZKA, Marek a Zuzana ROWLAND

Základní údaje

Originální název

Forecasting trade balance of Czech Republic and People´s Republic of China in equalizing time series and considering seasonal fluctuations

Autoři

VOCHOZKA, Marek (203 Česká republika, garant, domácí) a Zuzana ROWLAND (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, 14 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:_____/20:00002070

Organizační jednotka

Vysoká škola technická a ekonomická v Českých Budějovicích

ISBN

978-2-7598-9094-1

UT WoS

000648964700032

Klíčová slova anglicky

trade balance; Czech Republic; People´s Republic of China; time series; seasonal fluctuations

Štítky

BPE_MAE, RIV21, WOS

Změněno: 15. 6. 2021 09:34, Mgr. Nikola Petříková

Anotace

V originále

Authors aim is to introduce a methodology for considering seasonal fluctuations in equalizing time series using artificial neural networks on the example of the Czech Republic and the People ́s Republic of China trade balance. The data available is the data on monthly balance for the period between January 2000 and July 2018, that is, 223 input data. The unit is Euro. The data for the analysis are available on the World Bank web pages etc. Regression analysis is carried out using artificial neural networks.

Přiložené soubory

Forecasting_trade_balance_of_Czech_Republic_and_People_s_Republic_of_China_in_equalizing_time_series_and_considering_seasonal_fluctuations.pdf

Požádat o autorskou verzi souboru

Citovat

VOCHOZKA, Marek a Zuzana ROWLAND. Forecasting trade balance of Czech Republic and People´s Republic of China in equalizing time series and considering seasonal fluctuations. 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, 14 s. ISBN 978-2-7598-9094-1.

@inproceedings{58301,
   author = {Vochozka, Marek and Rowland, Zuzana},
   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 = {trade balance; Czech Republic; People´s Republic of China; time series; seasonal fluctuations},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Les Ulis, France},
   isbn = {978-2-7598-9094-1},
   pages = {nestránkováno},
   publisher = {EDP Sciences},
   title = {Forecasting trade balance of Czech Republic and People´s Republic of China in equalizing time series and considering seasonal fluctuations},
   url = {https://www.shs-conferences.org/articles/shsconf/pdf/2020/01/shsconf_ies_2019_01032.pdf},
   year = {2020}
}

TY  - JOUR
ID  - 58301
AU  - Vochozka, Marek - Rowland, Zuzana
PY  - 2020
TI  - Forecasting trade balance of Czech Republic and People´s Republic of China in equalizing time series and considering seasonal fluctuations
PB  - EDP Sciences
CY  - Les Ulis, France
SN  - 9782759890941
KW  - trade balance
KW  - Czech Republic
KW  - People´s Republic of China
KW  - time series
KW  - seasonal fluctuations
UR  - https://www.shs-conferences.org/articles/shsconf/pdf/2020/01/shsconf_ies_2019_01032.pdf
N2  - Authors aim is to introduce a methodology for considering seasonal fluctuations in equalizing time series using artificial neural networks on the example of the Czech Republic and the People ́s Republic of China trade balance. The data available is the data on monthly balance for the period between January 2000 and July 2018, that is, 223 input data. The unit is Euro. The data for the analysis are available on the World Bank web pages etc. Regression analysis is carried out using artificial neural networks.
ER  -

VOCHOZKA, Marek a Zuzana ROWLAND. Forecasting trade balance of Czech Republic and People´s Republic of China in equalizing time series and considering seasonal fluctuations. 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, 14 s. ISBN~978-2-7598-9094-1.

Podrobný výpis o publikaci