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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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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2020
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| 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 |