Cargando…
Improving reduced-order models through nonlinear decoding of projection-dependent outputs
A fundamental hindrance to building data-driven reduced-order models (ROMs) is the poor topological quality of a low-dimensional data projection. This includes behavior such as overlapping, twisting, or large curvatures or uneven data density that can generate nonuniqueness and steep gradients in qu...
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2023
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10682754/ https://www.ncbi.nlm.nih.gov/pubmed/38035196 http://dx.doi.org/10.1016/j.patter.2023.100859 |