DeepBHCP: Deep neural network algorithm for solving backward heat conduction problems

This paper extends a deep neural network method, a semi-supervised one, to solve backward heat conduction problems which have been long-standing computational challenges due to being ill-posed. The effectiveness and robustness of the methodology are demonstrated through various problems including di...

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Veröffentlicht in:	Computer physics communications Jg. 272; S. 108236
Hauptverfasser:	Mostajeran, F., Mokhtari, R.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.03.2022
Schlagworte:	Backward heat conduction problems Deep neural networks Ill-posed problems Inverse problems Thermal conductivity Thermal conductivity Ill-posed problems Deep neural networks Inverse problems Backward heat conduction problems
ISSN:	0010-4655, 1879-2944
Online-Zugang:	Volltext
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