Groundwater level simulation using gene expression programming and M5 model tree combined with wavelet transform
Author:
Affiliation:
1. Canada Research Chair in Statistical Hydro-climatology, INRS-ETE, Québec, Canada
2. Faculty of Water Sciences Engineering, Department of Water Resources Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran
Funder
the Natural Sciences and Engineering Research Council
Publisher
Informa UK Limited
Subject
Water Science and Technology
Link
https://www.tandfonline.com/doi/pdf/10.1080/02626667.2020.1749762
Reference48 articles.
1. Forecasting of groundwater level fluctuations using ensemble hybrid multi-wavelet neural network-based models
2. Neural networks and M5 model trees in modelling water level–discharge relationship
3. Modeling water table fluctuations by means of a stochastic differential equation
4. Regional Frequency Analysis at Ungauged Sites with the Generalized Additive Model
5. Comparison of ice-affected streamflow estimates computed using artificial neural networks and multiple regression techniques
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