Comparison of neural networks and regression time series on forecasting development of US imports from the PRC

Comparison of neural networks and regression time series on forecasting development of US imports from the PRC

The contribution deals primarily with the development and prediction of the PRC export to the USA, comparing traditional statistical methods in the form of regression analysis of time series and artificial neural networks, which are a very important prediction tools, and become an integral part of m...

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Bibliographic Details
Main Author: Jakub Horák, Veronika Machová
Format: Article
Language:English
Published: Institute of Technology and Business, České Budějovice 2019-08-01
Series:Littera Scripta
Subjects:
regression time series
neural networks
prediction
import
Online Access:http://www.littera-scripta.com/comparison-of-neural-networks-and-regression-time-series-on-forecasting-development-of-us-imports-from-the-prc/

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http://www.littera-scripta.com/comparison-of-neural-networks-and-regression-time-series-on-forecasting-development-of-us-imports-from-the-prc/

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