Parametric Taylor series based latent dynamics identification neural networks

Numerical solving parameterised partial differential equations (P-PDEs) is highly practical yet computationally expensive, driving the development of reduced-order models (ROMs). Recently, methods that combine latent space identification techniques with deep learning algorithms (e.g., autoencoders)...

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Bibliographische Detailangaben

Hauptverfasser:	Lin, Xinlei, Xiao, Dunhui
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Computer Science - Neural and Evolutionary Computing Mathematics - Dynamical Systems
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