Using Artificial Neural Networks for Equalizing Time Series Considering Seasonal Fluctuations

Using Artificial Neural Networks for Equalizing Time Series Considering Seasonal Fluctuations

The objective of this contribution is to prepare a methodology of using artificial neural networks for equalizing time series when considering seasonal fluctuations on the example of the Czech Republic import from the People´s Republic of China. If we focus on the relation of neural networks and tim...

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Bibliographic Details
Main Authors: Vrbka J., Horák J., Machová V.
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:SHS Web of Conferences
Subjects:
artificial neural networks
seasonal fluctuations
import
prediction
time series
Online Access:https://www.shs-conferences.org/articles/shsconf/pdf/2019/12/shsconf_eurasia2019_01003.pdf

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