Combining time varying filtering based empirical mode decomposition and machine learning to predict precipitation from nonlinear series

Author:

Song Chao,Chen Xiaohong,Wu Pan,Jin Haoyu

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference43 articles.

1. Application of artificial neural networks to rainfall forecasting in Queensland, Australia;Abbot;Adv. Atmos. Sci.,2012

2. Input selection and optimisation for monthly rainfall forecasting in Queensland, Australia, using artificial neural networks;Abbot;Atmos. Res.,2014

3. Forecasting pan evaporation with an integrated artificial neural network quantum-behaved particle swarm optimization model: a case study in Talesh, northern Iran;Ali Ghorbani;Eng. Appl. Comput. Fluid Mech.,2018

4. Complete ensemble empirical mode decomposition hybridized with random forest and kernel ridge regression model for monthly rainfall forecasts;Ali;J. Hydrol.,2020

5. Chaotic time series prediction with residual analysis method using hybrid Elman–NARX neural networks;Ardalani-Farsa;Neurocomputing,2010

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