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@article{52182, author = {Horák, Jakub and Machová, Veronika}, article_location = {České Budějovice}, article_number = {1}, keywords = {regression time series; neural networks; prediction; import}, language = {eng}, issn = {1805-9112}, journal = {Littera Scripta}, title = {Comparison of neural networks and regression time series on forecasting development of US imports from the PRC}, volume = {12}, year = {2019} }
TY - JOUR ID - 52182 AU - Horák, Jakub - Machová, Veronika PY - 2019 TI - Comparison of neural networks and regression time series on forecasting development of US imports from the PRC JF - Littera Scripta VL - 12 IS - 1 SP - 22-36 EP - 22-36 PB - The Institute of Technology and Business in České Budějovice SN - 18059112 KW - regression time series KW - neural networks KW - prediction KW - import N2 - 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 modelling and predicting certain development of time series based on the statistical data. ER -
HORÁK, Jakub a Veronika MACHOVÁ. Comparison of neural networks and regression time series on forecasting development of US imports from the PRC. \textit{Littera Scripta}. České Budějovice: The Institute of Technology and Business in České Budějovice, roč.~12, č.~1, s.~22-36. ISSN~1805-9112. 2019.
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