activity
20172023
most citedMachine Learning Approach to Model Order Reduction of Nonlinear Systems via Autoencoder and LSTM Networks

68 citations · 172 across the 10 of their papers we have counts for

collaborators
Showing 2022 · cs.CEShow all

1 paper · 2 filters

cs.CE2022

Nonlinear Reduced Order Modelling of Soil Structure Interaction Effects via LSTM and Autoencoder Neural Networks

Thomas Simpson, Nikolaos Dervilis, Philippe Couturier +2

In the field of structural health monitoring (SHM), inverse problems which require repeated analyses are common. With the increase in the use of nonlinear models, the development o…