TAEN: a model-constrained Tikhonov autoencoder network for forward and inverse problems

Efficient real-time solvers for forward and inverse problems are essential in engineering and science applications. Machine learning surrogate models have emerged as promising alternatives to traditional methods, offering substantially reduced computational time. Nevertheless, these models typically...

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Vydáno v:	Computer methods in applied mechanics and engineering Ročník 446; s. 118245
Hlavní autoři:	Van Nguyen, Hai, Bui-Thanh, Tan, Dawson, Clint
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.11.2025
Témata:	Deep learning Forward problem Inverse problem Model-constrained autoencoder Partial differential equations Randomization Deep learning Model-constrained autoencoder Randomization Forward problem Partial differential equations Inverse problem
ISSN:	0045-7825
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