Improving results of existing groundwater numerical models using machine learning techniques: a review

Review

Publication Date:

2022

Iris type:

01.02 Recensione in rivista

Keywords:

groundwater; physically-based models; machine learning models; artificial neural network; random forest; support vector machine

List of contributors:

Authors of the University:

DI SALVO CRISTINA

Handle:

Published in:

Journal

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