Suspended sediment load prediction in river systems via shuffled frog-leaping algorithm and neural network
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s12145-024-01338-y.pdf
Reference100 articles.
1. Abda Z, Zerouali B, Alqurashi M, Chettih M, Santos CAG, Hussein EE (2021) Suspended sediment load simulation during flood events using intelligent systems: a case study on semiarid regions of Mediterranean Basin. Water 13(24):3539. https://doi.org/10.3390/w13243539
2. Adnan RM, Mostafa RR, Islam ARMT, Kisi O, Kuriqi A, Heddam S (2021) Estimating reference evapotranspiration using hybrid adaptive fuzzy inferencing coupled with heuristic algorithms. Comput Electron Agric 191:106541. https://doi.org/10.1016/j.compag.2021.106541
3. Adnan RM, Dai HL, Mostafa RR, Parmar KS, Heddam S, Kisi O (2022) Modeling multistep ahead dissolved oxygen concentration using improved support vector machines by a hybrid metaheuristic algorithm. Sustainability 14(6):3470. https://doi.org/10.3390/su14063470
4. Adnan RM, Dai HL, Mostafa RR, Islam ARMT, Kisi O, Heddam S, Zounemat-Kermani M (2023a) Modelling groundwater level fluctuations by ELM merged advanced metaheuristic algorithms using hydroclimatic data. Geocarto Int 38(1):2158951. https://doi.org/10.1080/10106049.2022.2158951
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