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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 - MaRDI portal

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 (Q6084770)

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scientific article; zbMATH DE number 7773247
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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
scientific article; zbMATH DE number 7773247

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    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 (English)
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    2 December 2023
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    multi-layered long-short term memory
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    multi-layered gated recurrent unit
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    dilated convolution operation
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    shock tube experiment
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    geometrically nonlinear viscoplasticity
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    metal plate
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