Machine Learning-Based Evaporation Prediction and Kernel Function Analysis: A Case Study of the Boukourdane Dam, Algeria
Author(s)
Date Issued
2026
Type
article
Volume
25
Issue
1
Start Page
3
End Page
16
Abstract
The objective of this study is to evaluate the impact of three kernel functions—Pearson VII, radial basis function (RBF), and polynomial—on the predictive performance of Support Vector Regression (SVR) and Gaussian Process Regression (GPR) models.