Comparison of different methodologies for rainfall–runoff modeling: machine learning vs conceptual approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Water Science and Technology
Link
http://link.springer.com/content/pdf/10.1007/s11069-020-04438-2.pdf
Reference58 articles.
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3. Adnan RM, Yuan X, Kisi O, Adnan M, Mehmood A (2018) Stream flow forecasting of poorly gauged mountainous watershed by least square support vector machine, fuzzy genetic algorithm and m5 model tree using climatic data from nearby station. Water Resour Manag 32(14):4469–4486
4. Adnan RM, Liang Z, Heddam S, Zounemat-Kermani M, Kisi O, Li B (2019a) 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
5. Al-Sudani ZA, Salih SQ, Yaseen ZM (2019) Development of multivariate adaptive regression spline integrated with differential evolution model for streamflow simulation. J Hydrol 573:1–12
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