Data-based models for the prediction of dam behaviour: a review and some methodological considerations

DOI10.1007/s11831-015-9157-9zbMath1360.74017OpenAlexW1037593585WikidataQ113323297 ScholiaQ113323297MaRDI QIDQ525365

Eugenio Oñate, Fernando Salazar, Rafael Morán, Miguel Á. Toledo

Publication date: 3 May 2017

Published in: Archives of Computational Methods in Engineering (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/2117/101357

Mathematics Subject Classification ID

Theory of constitutive functions in solid mechanics (74A20)

Related Items (2)

Prediction of arch dam deformation via correlated multi-target stacking ⋮ A high-performance displacement prediction model of concrete dams integrating signal processing and multiple machine learning techniques

Uses Software

• ANFIS
• ElemStatLearn

Cites Work

• Unnamed Item
• A survey of cross-validation procedures for model selection
• Multivariate analysis in dam monitoring data with PCA
• Inferring rules for adverse load combinations to crack in concrete dam from monitoring data using adaptive neuro-fuzzy inference system
• Fuzzy identification of systems and its applications to modeling and control

This page was built for publication: Data-based models for the prediction of dam behaviour: a review and some methodological considerations