Machine Learning (ML) in Water Resources
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-1316-5_9
Reference70 articles.
1. Adnan RM, Liang Z, Heddam S, Zounemat-Kermani M, Kisi O, Li B (2020) Least square support vector machine and multivariate adaptive regression splines for streamflow prediction in mountainous basin using hydro-meteorological data as inputs. J Hydrol 586:124371. https://doi.org/10.1016/j.jhydrol.2019.124371
2. Adnan RM, Jaafari A, Mohanavelu A, Kisi O, Elbeltagi A (2021) Novel ensemble forecasting of streamflow using locally weighted learning algorithm. Sustainability (Switzerland) 13(11). https://doi.org/10.3390/su13115877
3. Altman NS (1992) An introduction to kernel and nearest-neighbor nonparametric regression. Am Stat 46:175–185. https://doi.org/10.2307/2685209
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5. Babaei M, Moeini R, Ehsanzadeh E (2019) Artificial neural network and support vector machine models for inflow prediction of dam reservoir (case study: Zayandehroud dam reservoir). Water Resour Manage 33:2203–2218. https://doi.org/10.1007/s11269-019-02252-5
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