2020
DOI: 10.1051/shsconf/20207301033
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Considering seasonal fluctuations on balancing time series with the use of artificial neural networks when forecasting US imports from the PRC

Abstract: The paper’s objective 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 of imports 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 to propose an approach that would hybridize econometric models and art… Show more

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Cited by 2 publications
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