Incremental dynamic mode decomposition: A reduced-model learner operating at the low-data limit
Langue
en
Article de revue
Ce document a été publié dans
Comptes Rendus Mécanique. 2019, vol. 347, n° 11, p. 780-792
Elsevier Masson
Résumé en anglais
The present work aims at proposing a new methodology for learning reduced models from a small amount of data. It is based on the fact that discrete models, or their transfer function counterparts, have a low rank and then ...Lire la suite >
Mots clés en anglais
Advanced regression
Machine learning
Mode decomposition
Nonlinear reduced modeling
PGD
Tensor formats