[HTML][HTML] Error approximation and bias correction in dynamic problems using a recurrent neural network/finite element hybrid model
M von Tresckow, H De Gersem, D Loukrezis - Applied Mathematical …, 2024 - Elsevier
This work proposes a hybrid modeling framework based on recurrent neural networks
(RNNs) and the finite element (FE) method to approximate model discrepancies in time …
(RNNs) and the finite element (FE) method to approximate model discrepancies in time …
Automative model selection and model certification for reaction-diffusion equations
C Reisch, D Langemann - IFAC-PapersOnLine, 2022 - Elsevier
This paper discusses the problem of automative model selection for low-fidelity models
learned from data generated by a high-fidelity model. The models describe the time and …
learned from data generated by a high-fidelity model. The models describe the time and …