Combining data assimilation and machine learning to build data‐driven models for unknown long time dynamics—Applications in cardiovascular modeling

We propose a method to discover differential equations describing the long‐term dynamics of phenomena featuring a multiscale behavior in time, starting from measurements taken at the fast‐scale. Our methodology is based on a synergetic combination of data assimilation (DA), used to estimate the para...

Descripción completa

Detalles Bibliográficos
Autores principales: Regazzoni, Francesco, Chapelle, Dominique, Moireau, Philippe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2021
Materias:
Research Article ‐ Fundamental
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8365699/
https://www.ncbi.nlm.nih.gov/pubmed/33913623
http://dx.doi.org/10.1002/cnm.3471

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8365699/
https://www.ncbi.nlm.nih.gov/pubmed/33913623
http://dx.doi.org/10.1002/cnm.3471

Ejemplares similares