A comprehensive review of artificial intelligence-based methods for predicting pan evaporation rate-Reference-Cited by-同舟云学术

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A comprehensive review of artificial intelligence-based methods for predicting pan evaporation rate

Published:2023-09-19 Issue:S2 Volume:56 Page:2861-2892
ISSN:0269-2821
Container-title:Artificial Intelligence Review
language:en
Short-container-title:Artif Intell Rev

Author:

Abed Mustafa,Imteaz Monzur Alam,Ahmed Ali Najah

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Link

https://link.springer.com/content/pdf/10.1007/s10462-023-10592-3.pdf

Reference81 articles.

1. Abed M, Imteaz MA, Ahmed AN, Huang YF (2021a) Application of long short-term memory neural network technique for predicting monthly pan evaporation. Sci Rep 11(1):1–19. https://doi.org/10.1038/s41598-021-99999-y

2. Abed M, Imteaz MA, Ahmed AN, Huang YF (2021b) Application of long short-term memory neural network technique for predicting monthly pan evaporation. Sci Rep 11(1):1–19. https://doi.org/10.1038/s41598-021-99999-y

3. Abed M, Imteaz MA, Ahmed AN, Huang YF (2022) Modelling monthly pan evaporation utilising random forest and deep learning algorithms. Sci Rep 12(1):13132. https://doi.org/10.1038/s41598-022-17263-3

4. Abudu S, Cui C, King JP, Moreno J, Bawazir AS (2011) Modeling of daily pan evaporation using partial least squares regression. Sci China Technol Sci 54(1):163–174. https://doi.org/10.1007/s11431-010-4205-z

5. Adnan Ikram RM, Jaafari A, Milan SG, Kisi O, Heddam S, Zounemat-Kermani M (2022) Hybridized adaptive neuro-fuzzy inference system with metaheuristic algorithms for modeling monthly pan evaporation. Water 14(21):3549. https://doi.org/10.3390/w14213549

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