Exploració per tema "Boosted regression trees"

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    • An empirical comparison of machine learning techniques for dam behaviour modelling 

      Salazar González, Fernando; Toledo Municio, Miguel Ángel; Oñate Ibáñez de Navarra, Eugenio; Morán Moya, Rafael (2015-09)
      Article
      Accés obert
      Predictive models are essential in dam safety assessment. Both deterministic and statistical models applied in the day-to-day practice have demonstrated to be useful, although they show relevant limitations at the same ...

    • Interpretation of dam deformation and leakage with boosted regression trees 

      Salazar González, Fernando; Toledo Municio, Miguel Ángel; Oñate Ibáñez de Navarra, Eugenio; Suárez Arroyo, Benjamín (2016-07)
      Article
      Accés obert
      Predictive models are essential in dam safety assessment. They have been traditionally based on simple statistical tools such as the hydrostatic-season-time (HST) model. These tools are well known to have limitations in ...

    • SOLDIER: SOLution for Dam behavior Interpretation and safety Evaluation with boosted Regression trees 

      Salazar González, Fernando; Irazábal González, Joaquín; Conde Vázquez, André (2024-02)
      Article
      Accés obert
      Decision making in dam safety is fundamentally based on the comparison between the predictions of a behavior model and the records of the monitoring system. Traditionally, simple linear regression models have been used. ...