A new approach for Baltic Dry Index forecasting based on empricial mode decomposition and neural networks
Year of publication: |
June 2016
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Authors: | Zeng, Qingcheng ; Qu, Chenrui ; Ng, Koi Yu Adolf ; Zhao, Xiaofeng |
Published in: |
Maritime economics & logistics : a quarterly scientific journal committed to the advancement of maritime economics as a distinct and well defined branch of both applied economics and international business. - Basingstoke : Palgrave Macmillan, ISSN 1479-2931, ZDB-ID 2108520-1. - Vol. 18.2016, 2, p. 192-210
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Subject: | dry bulk shipping market | empirical mode decomposition | artificial neural networks | forecasting | Baltic Dry Index (BDI) | Neuronale Netze | Neural networks | Prognoseverfahren | Forecasting model | Massengutschifffahrt | Dry bulk shipping | Zeitreihenanalyse | Time series analysis | Dekompositionsverfahren | Decomposition method | Welt | World |
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