The most suitable mode decomposition technique for machine learning in meteorological time series prediction
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Link
https://link.springer.com/content/pdf/10.1007/s12040-023-02091-4.pdf
Reference31 articles.
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4. Beltrán-Castro J, Valencia-Aguirre J, Orozco-Alzate M, Castellanos-Domínguez G and Travieso-González C M2013 Rainfall forecasting based on ensemble empirical mode decomposition and neural networks; In: Advances in Computational Intelligence (eds) Rojas I, Joya G and Gabestany J, IWANN, Lecture Notes in Computer Science, vol. 7902, Springer, Berlin, Heidelberg.
5. Chen M-H 2016 A quantile regression analysis of tourism market growth effect on the hotel industry; Int. J. Hospital. Manage. 52 117–120.
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