Naslov (eng)

Machine Learning Regression Models Analysis: Piezometric water level prediction - case study

Autor

Ćirović, Vukašin
Milivojević, Nikola
Ranković, Vesna

Publisher

Opis (eng)

Abstract: Recent development of artificial intelligence, machine learning and deep learning, in particular, resulted in the increase in the use of data-based models in various fields; among others, in the field of dam safety. Neural networks are the most frequently used machine learning technique which has been applied to various problems. Other machine learning techniques are used for the analysis and interpretation of dam structural behaviour. In this paper, an analysis is conducted exhibiting how novel machine learning techniques can be used for piezometric water level prediction. Results from different techniques are presented and discussed. At the same time, the performance of the previously developed neural network model is analysed with the extended dataset, since additional measurements have been collected in the meantime. Although only one representative piezometer is considered, the proposed methodology may be generally applicable. Finally, some recommendations are given on how predictive models that are very similar at first glance may differ by additional analyses.

Jezik

engleski

Datum

2022

Licenca

© All rights reserved

Predmet

neural networks, machine learning, deep learning, dam safety

Deo kolekcije (1)

o:243

Institut za vodoprivredu "Jaroslav Černi"