Task-oriented machine learning surrogates for tipping points of agent-based models
Abstract We present a machine learning framework bridging manifold learning, neural networks, Gaussian processes, and Equation-Free multiscale approach, for the construction of different types of effective reduced order models from detailed agent-based simulators and the systematic multiscale numeri...
Gardado en:
| Principais autores: | , , , , , , |
|---|---|
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Nature Portfolio
2024-05-01
|
| Series: | Nature Communications |
| Acceso en liña: | https://doi.org/10.1038/s41467-024-48024-7 |
| Tags: |
Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!
|