Identifying key differences between linear stochastic estimation and neural networks for fluid flow regressions

Neural networks (NNs) and linear stochastic estimation (LSE) have widely been utilized as powerful tools for fluid-flow regressions. We investigate fundamental differences between them considering two canonical fluid-flow problems: (1) the estimation of high-order proper orthogonal decomposition coe...

Descripción completa

Detalles Bibliográficos
Autores principales: Nakamura, Taichi, Fukami, Kai, Fukagata, Koji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8904624/
https://www.ncbi.nlm.nih.gov/pubmed/35260621
http://dx.doi.org/10.1038/s41598-022-07515-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8904624/
https://www.ncbi.nlm.nih.gov/pubmed/35260621
http://dx.doi.org/10.1038/s41598-022-07515-7

Ejemplares similares