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Masonry Compressive Strength Prediction Using Artificial Neural Networks.
Panagiotis G. Asteris
Ioannis Argyropoulos
Liborio Cavaleri
Hugo Rodrigues
Humberto Varum
Job Thomas
Paulo B. Lourenço
Published in:
TMM_CH (2) (2018)
Keyphrases
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using artificial neural networks
artificial neural networks
prediction accuracy
friction coefficient
database
machine learning
neural network model
prediction error
prediction algorithm
finite element analysis
clustering algorithm
decision trees
sparse representation
predictive model
compressive sensing