Reservoir water level forecasting using wavelet support vector regression (WSVR) based on teaching learning-based optimization algorithm (TLBO)
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-022-07296-1.pdf
Reference38 articles.
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3. Chen Y, Gan M, Pan S, Pan H, Zhu X, Tao Z (2020) Application of auto-regressive (AR) analysis to improve short-term prediction of water levels in the Yangtze Estuary. J Hydrol 590:125386. https://doi.org/10.1016/j.jhydrol.2020.125386
4. Danandeh Mehr A, Kahya E, Olyaie E (2013) Streamflow prediction using linear genetic programming in comparison with a neuro-wavelet technique. J Hydrol 505:240–249. https://doi.org/10.1016/j.jhydrol.2013.10.003
5. El-Diasty M, Al-Harbi S, Pagiatakis S (2018) Hybrid harmonic analysis and wavelet network model for sea water level prediction. Appl Ocean Res 70:14–21. https://doi.org/10.1016/j.apor.2017.11.007
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