Hierarchical Fuzzy Systems Integrated with Particle Swarm Optimization for Daily Reference Evapotranspiration Prediction: a Novel Approach
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/s11269-021-03009-9.pdf
Reference67 articles.
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2. Alizamir M, Kisi O, Muhammad Adnan R, Kuriqi A (2020) Modelling reference evapotranspiration by combining neuro-fuzzy and evolutionary strategies. Acta Geophys 68:1113–1126. https://doi.org/10.1007/s11600-020-00446-9
3. Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration—guidelines for computing crop water requirements. FAO Irrig Drain Pap No 56, Rome
4. Azad A, Saeed F, Hadi S et al (2021) Approaches for optimizing the performance of adaptive neuro-fuzzy inference system and least-squares support vector machine in precipitation modeling. J Hydrol Eng 26:4021010. https://doi.org/10.1061/(ASCE)HE.1943-5584.0002069
5. Azad A, Kashi H, Farzin S et al (2019a) Novel approaches for air temperature prediction: Comparison of four hybrid evolutionary fuzzy models. Meteorol Appl 27. https://doi.org/10.1002/met.1817
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