Validation of Machine Learning Models for Structural Dam Behaviour Interpretation and Prediction

Validation of Machine Learning Models for Structural Dam Behaviour Interpretation and Prediction

The main aim of structural safety control is the multiple assessments of the expected dam behaviour based on models and the measurements and parameters that characterise the dam’s response and condition. In recent years, there is an increase in the use of data-based models for the analysis and inter...

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Bibliographic Details
Main Authors: Juan Mata, Fernando Salazar, José Barateiro, António Antunes
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Water
Subjects:
concrete dam
machine learning methods
structural behaviour
sensitivity analysis
model validation
Online Access:https://www.mdpi.com/2073-4441/13/19/2717

Internet

https://www.mdpi.com/2073-4441/13/19/2717

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