Autoprogressive training of neural network constitutive models

A new method, termed autoprogressive training, for training neural networks to learn complex stress–strain behaviour of materials using global load–deflection response measured in a structural test is described. The richness of the constitutive information that is generally implicitly contained in t...

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Veröffentlicht in:	International journal for numerical methods in engineering 1998-05, Vol.42 (1), p.105-126
Hauptverfasser:	Ghaboussi, Jamshid, Pecknold, David A., Zhang, Mingfu, Haj-Ali, Rami M.
Format:	Artikel
Sprache:	eng
Schlagworte:	constitutive models neural networks non-linear training
Online-Zugang:	Volltext
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