Recurrent neural network model with Bayesian training and mutual information for response prediction of large buildings

•A new methodology for accurate response prediction of large structures is proposed.•It uses EMD, MI index, and a probabilistic Bayesian-based training algorithm.•An MI index is proposed to determine the optimum number of neurons in the NN model.•Bayesian regularization is proposed to train the opti...

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Veröffentlicht in:Engineering structures 2019-01, Vol.178, p.603-615
Hauptverfasser: Perez-Ramirez, Carlos A., Amezquita-Sanchez, Juan P., Valtierra-Rodriguez, Martin, Adeli, Hojjat, Dominguez-Gonzalez, Aurelio, Romero-Troncoso, Rene J.
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Sprache:eng
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