Characterization of the modal response using Deep recurrent neural networks
•A building is monitored with a low density/low resolution sensor system.•Deep learning recurrent neural networks are used to predict the modal response.•Temperature and solar radiation based models are tested for the modal frequency.•LSTM and MLP layers are used in the neural network arquitecture....
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Published in | Engineering structures Vol. 256; p. 113915 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Kidlington
Elsevier Ltd
01.04.2022
Elsevier BV |
Subjects | |
Online Access | Get full text |
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