Interpretation of concrete dam behaviour with artificial neural network and multiple linear regression models

By J. Mata. 2011

377 citations recorded by the source corpus.

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Emerging artificial intelligence methods in structural engineering (2018, methodology): “[216] Performance evaluation Concrete dam ANN and linear regression”
An Empirical Comparison of Multiple Linear Regression and Artificial Neural Network for Concrete Dam Deformation Modelling (2019, methodology): “Mata [12] found that ANNmodels can be a very powerful tool in evaluating dam behavior by comparing the multiple linear regression model with the multilayer perceptronmodel for the horizontal displacement of a concrete arch dam.”
Prediction of compressive strength of concrete containing construction and demolition waste using artificial neural networks (2013, methodology): “Its application might be extended to almost all areas [10,28].”
Data-Based Models for the Prediction of Dam Behaviour: A Review and Some Methodological Considerations (2017, methodology): “Mata et al. [24] solved this issue by applying principal component analysis (PCA), while other authors [18] considered all the available instruments.”