Can Short and Partial Observations Reduce Model Error and Facilitate Machine Learning Prediction?

Predicting complex nonlinear turbulent dynamical systems is an important and practical topic. However, due to the lack of a complete understanding of nature, the ubiquitous model error may greatly affect the prediction performance. Machine learning algorithms can overcome the model error, but they a...

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Detalles Bibliográficos
Autor principal: Chen, Nan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597167/
https://www.ncbi.nlm.nih.gov/pubmed/33286844
http://dx.doi.org/10.3390/e22101075

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597167/
https://www.ncbi.nlm.nih.gov/pubmed/33286844
http://dx.doi.org/10.3390/e22101075

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