A. Conde, F. Salazar
A predictive study framework for dams is proposed using Machine Learning (ML) algorithms programmed in R. This study is capable of estimating the
relationship between dam response and internal properties or external forces. For a better efficiency of the analysis with predictive models, a previous step
has been developed consisting of database cleaning and expansion processes. An interactive interface for each of the two phases has been developed using the Shiny package with the aim of making these processes accessible also to professionals who do not possess knowledge of laborious programming scripts.
Published on 01/01/2021
Licence: CC BY-NC-SA license
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