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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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: In: 10.1007/s00466-023-02317-8

Event: Veröffentlichung

(where): Aachen

(who): Universitätsbibliothek der RWTH Aachen

(when): 2023

Creator: Tandale, Saurabh Balkrishna
Stoffel, Marcus

DOI: 10.18154/RWTH-2023-03983

URN: urn:nbn:de:101:1-2023062201381714940639

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:55 AM CEST

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Tandale, Saurabh Balkrishna
Stoffel, Marcus
Universitätsbibliothek der RWTH Aachen

Time of origin

2023

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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

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Other Objects (12)

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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