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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Bibliographic Details

Published in:	Computer methods in applied mechanics and engineering Vol. 446; p. 118245
Main Authors:	Van Nguyen, Hai, Bui-Thanh, Tan, Dawson, Clint
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.11.2025
Subjects:	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
Online Access:	Get full text
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