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Physically recurrent neural networks for path-dependent heterogeneous materials: embedding constitutive models in a data-driven surrogate.
M. A. Maia
I. B. C. M. Rocha
Pierre Kerfriden
F. P. van der Meer
Published in:
CoRR (2022)
Keyphrases
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recurrent neural networks
data driven
echo state networks
nonlinear dynamic systems
feed forward
reservoir computing
neural network
decision making
probabilistic model
real time
artificial neural networks
bayesian framework
neural model
recurrent networks
cascade correlation