Combining two-stage decomposition based machine learning methods for annual runoff forecasting
Author:
Publisher
Elsevier BV
Subject
Water Science and Technology
Reference67 articles.
1. A hybrid of Random Forest and Deep Auto-Encoder with support vector regression methods for accuracy improvement and uncertainty reduction of long-term streamflow prediction;Abbasi;J. Hydrol.,2021
2. Rainfall data analyzing using moving average (MA) model and wavelet multi-resolution intelligent model for noise evaluation to improve the forecasting accuracy;Akrami;Neural Comput. Appl.,2014
3. Complete ensemble empirical mode decomposition hybridized with random forest and kernel ridge regression model for monthly rainfall forecasts;Ali;J. Hydrol.,2020
4. Forecasting daily river flows using nonlinear time series models;Amiri;J. Hydrol.,2015
5. Generalisation for neural networks through data sampling and training procedures, with applications to streamflow predictions;Anctil;Hydrol. Earth Syst. Sci.,2004
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