Optimizing seasonal discharge predictions: a hybridized approach with AI and non-linear models
Author:
Funder
Core Research Grant, SERB Government of India
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s41939-024-00401-x.pdf
Reference65 articles.
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3. Bassi A, Mir AA, Kumar B, Patel M (2023) A comprehensive study of various regressions and deep learning approaches for the prediction of friction factor in mobile bed channels. J Hydroinform 25(6):2500–2521. https://doi.org/10.2166/hydro.2023.246
4. Bhattacharya T, Khare D, Arora M (2019) A case study for the assessment of the suitability of gridded reanalysis weather data for hydrological simulation in Beas river basin of North Western Himalaya. Appl Water Sci. https://doi.org/10.1007/s13201-019-0993-x
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