Solving Complex Rainfall-Runoff Processes in Semi-Arid Regions Using Hybrid Heuristic Model
Author:
Publisher
Springer Science and Business Media LLC
Subject
Water Science and Technology,Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11269-021-03053-5.pdf
Reference22 articles.
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2. Araghinejad S, Fayaz N, Hosseini-Moghari S (2018a) Development of a hybrid data driven model for hydrological estimation. Water Resour Manag 32:3737–3750. https://doi.org/10.1007/s11269-018-2016-3
3. Araghinejad S, Fayaz N, Hosseini-Moghari SM (2018b) Development of a Hybrid Data Driven Model for Hydrological Estimation. Water Resour Manag 32:3737–3750. https://doi.org/10.1007/s11269-018-2016-3
4. Asadi S, Shahrabi J, Abbaszadeh P, Tabanmehr S (2013) A new hybrid artificial neural networks for rainfall–runoff process modeling. Neurocomputing 121:470–480. https://doi.org/10.1016/j.neucom.2013.05.0233
5. Basheer AGMFS, AL-khuwaylidee IKR (2016) The Climate Assessment of Iraq Region. J Nat Sci Res 6(20):66–70. https://doi.org/10.7176/JNSR
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