Deep Neural Network-Based Storey Drift Modelling of Precast Concrete Structures Using RStudio
In this research, storey drift has been determined using Deep neural networks (DNN Keras). DNN Keras has various hyper tuning parameters (hidden layer, drop out layer, epochs, batch size and activation function) that make it capable to model complex problems. Building height, number of bays, number...
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| Auteurs principaux: | , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Pouyan Press
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/094e422d64534310bdb359e84b8e86c6 |
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