Enhancing Pan evaporation predictions: Accuracy and uncertainty in hybrid machine learning models

Pan Evaporation (Ep) plays a pivotal role in water resource management, particularly in arid and semi-arid regions. This study assesses the predictive performance of a comprehensive range of advanced machine learning (ML) and deep learning (DL) algorithms for Ep prediction using readily available en...

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Vydané v:	Ecological informatics Ročník 85; s. 102933
Hlavní autori:	Khosravi, Khabat, Farooque, Aitazaz A., Naghibi, Amir, Heddam, Salim, Sharafati, Ahmad, Hatamiafkoueieh, Javad, Abolfathi, Soroush
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.03.2025 Elsevier
Predmet:	algorithms automation BA-Kstar Civil Engineering data collection Deep learning Engineering and Technology Evaporation fuzzy logic Geotechnical Engineering and Engineering Geology Geoteknik och teknisk geologi hybrids Iran Kermanshah Machine learning neural networks prediction principal component analysis rain relative humidity Samhällsbyggnadsteknik Teknik temperature uncertainty Uncertainty analysis water management wind speed Iran Deep learning Evaporation BA-Kstar Kermanshah Uncertainty analysis Machine learning
ISSN:	1574-9541
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