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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Autores principales: Nitin Dahiya, Babita Saini, H. Chalak
Formato: article
Lenguaje:EN
Publicado: Pouyan Press 2021
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Acceso en línea:https://doaj.org/article/094e422d64534310bdb359e84b8e86c6
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