KNN vs. Bluecat—Machine Learning vs. Classical Statistics

KNN vs. Bluecat—Machine Learning vs. Classical Statistics

Uncertainty is inherent in the modelling of any physical processes. Regarding hydrological modelling, the uncertainty has multiple sources including the measurement errors of the stresses (the model inputs), the measurement errors of the hydrological process of interest (the observations against whi...

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Bibliographic Details
Main Authors: Evangelos Rozos, Demetris Koutsoyiannis, Alberto Montanari
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Hydrology
Subjects:
k-nearest neighbours
data-driven modelling
model uncertainty
machine learning
statistical analysis
hydrological modelling
Online Access:https://www.mdpi.com/2306-5338/9/6/101

Internet

https://www.mdpi.com/2306-5338/9/6/101

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