Groundwater Modeling with Machine Learning Techniques: Ljubljana polje Aquifer

Groundwater Modeling with Machine Learning Techniques: Ljubljana polje Aquifer

In this study a thorough analysis is conducted concerning the prediction of groundwater levels of Ljubljana polje aquifer. Machine learning methodologies are implemented using strongly correlated physical parameters as input variables. The results show that data-driven modelling approaches can perfo...

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Bibliographic Details
Main Authors: Klemen Kenda, Matej Čerin, Mark Bogataj, Matej Senožetnik, Kristina Klemen, Petra Pergar, Chrysi Laspidou, Dunja Mladenić
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Proceedings
Subjects:
groundwater levels
data-driven modeling
machine learning
data preprocessing
Online Access:http://www.mdpi.com/2504-3900/2/11/697

Internet

http://www.mdpi.com/2504-3900/2/11/697

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