Container throughput forecasting using a novel hybrid learning method with error correction strategy

Port throughput forecasting is not only a complicated problem but also a challenging task in port management fields. In this study, a novel hybrid learning model that utilizes effective decomposition techniques, such as variational mode decomposition (VMD), machine learning, optimization algorithms,...

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Veröffentlicht in:Knowledge-based systems 2019-10, Vol.182, p.104853, Article 104853
Hauptverfasser: Du, Pei, Wang, Jianzhou, Yang, Wendong, Niu, Tong
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Sprache:eng
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