Data-Driven Techniques for Monthly Pan Evaporation Modeling in Iraq

Data-Driven Techniques for Monthly Pan Evaporation Modeling in Iraq

Evaporation plays significant roles in agricultural production, climate change and water resources management. Hence, its accurate prediction is of paramount importance. This study aimed at investigating the potentials of artificial neural network (ANN), support vector regression (SVR) and classical...

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Bibliographic Details
Main Authors: Jazuli Abdullahi, Ala Tahsin
Format: Article
Language:English
Published: Ishik University 2020-06-01
Series:Eurasian Journal of Science and Engineering
Subjects:
artificial neural network
support vector regression
erbil
data
salahaddin
Online Access:https://eajse.tiu.edu.iq/index.php/volume-6-issue-1-article-8/

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