Novel hybrid approaches based on evolutionary strategy for streamflow forecasting in the Chellif River, Algeria
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geophysics
Link
http://link.springer.com/content/pdf/10.1007/s11600-019-00380-5.pdf
Reference71 articles.
1. Abdollahi S, Raeisi J, Khalilianpour M, Ahmadi F, Kisi O (2017) Daily mean streamflow prediction in perennial and non-perennial rivers using four data driven techniques. Water Resour Manage 31(15):4855–4874. https://doi.org/10.1007/s11269-017-1782-7
2. Adamowski J, Sun K (2010) Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds. J Hydrol 390(1–2):85–91. https://doi.org/10.1016/j.jhydrol.2010.06.033
3. 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.2013.05.023
4. Badrzadeh H, Sarukkalige R, Jayawardena AW (2013) Impact of multi-resolution analysis of artificial intelligence models inputs on multi-step ahead river flow forecasting. J Hydrol 507:75–85. https://doi.org/10.1016/j.jhydrol.2013.10.017
5. Baydaroğlu Ö, Koçak K, Duran K (2018) River flow prediction using hybrid models of support vector regression with the wavelet transform, singular spectrum analysis and chaotic approach. Meteorol Atmos Phys 130(3):349–359. https://doi.org/10.1007/s00703-017-0518-9
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