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 and Marek VOCHOZKA
Basic information
Original name
Considering seasonal fluctuations on balancing time series with the use of artificial neural networks when forecasting US imports from the PRC
Authors
VRBKA, Jaromír (203 Czech Republic, guarantor, belonging to the institution) and
Marek VOCHOZKA (203 Czech Republic, belonging to the institution)
Edition
73. vyd. Les Ulis, France, SHS Web of Conferences: Innovative Economic Symposium - Potential of Eurasian Economic Union (IES), p. nestránkováno, 12 pp. 2020
Other information
Type of outcome
Stať ve sborníku
Field of Study
50200 5.2 Economics and Business
Country of publisher
France
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
printed version "print"
RIV identification code
RIV/75081431:_____/20:00002078
Organization unit
Institute of Technology and Business in České Budějovice
Keywords in English
forecasting models; artificial neural networks; time series; development
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.
Displayed: 4/11/2024 22:25