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Local bi-fidelity field approximation with Knowledge Based Neural Networks for Computational Fluid Dynamics
This work presents a machine learning based method for bi-fidelity modelling. The method, a Knowledge Based Neural Network (KBaNN), performs a local, additive correction to the outputs of a coarse computational model and can be used to emulate either experimental data or the output of a more accurat...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8280202/ https://www.ncbi.nlm.nih.gov/pubmed/34262057 http://dx.doi.org/10.1038/s41598-021-93280-y |