Recurrent and convolutional neural networks in structural dynamics: a modified attention steered encoder-decoder architecture versus lstm versus gru versus tcn topologies to predict the response of shock wave-loaded plates

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• who: Saurabh Balkrishna Tandale from the Institute of General Mechanics, RWTH Aachen University, Aachen, Germany have published the Article: Recurrent and convolutional neural networks in structural dynamics: a modified attention steered encoder-decoder architecture versus LSTM versus GRU versus TCN topologies to predict the response of shock wave-loaded plates, in the Journal: (JOURNAL)
• what: The aim of this study is to analyse and predict the structural deformations occurring during shock tube experiments with a series of recurrent and temporal convolutional neural networks. For this approach four different architectures are proposed. In the current study . . .
  

   

  

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