The Feasibility of Integrative Radial Basis M5Tree Predictive Model for River Suspended Sediment Load Simulation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Water Science and Technology,Civil and Structural Engineering
Link
http://link.springer.com/content/pdf/10.1007/s11269-019-02378-6.pdf
Reference51 articles.
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3. Aytek A, Kişi Ö (2008) A genetic programming approach to suspended sediment modelling. J Hydrol 351:288–298. https://doi.org/10.1016/j.jhydrol.2007.12.005
4. Choubin B, Darabi H, Rahmati O, Sajedi-Hosseini F, Kløve B (2018a) River suspended sediment modelling using the CART model: a comparative study of machine learning techniques. Sci Total Environ 615:272–281. https://doi.org/10.1016/j.scitotenv.2017.09.293
5. Choubin B, Zehtabian G, Azareh A, Rafiei-Sardooi E, Sajedi-Hosseini F, Kişi Ö (2018b) Precipitation forecasting using classification and regression trees (CART) model: a comparative study of different approaches. Environ Earth Sci 77:314
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