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Short- and long-term predictions of chaotic flows and extreme events: a physics-constrained reservoir computing approach
We propose a physics-constrained machine learning method—based on reservoir computing—to time-accurately predict extreme events and long-term velocity statistics in a model of chaotic flow. The method leverages the strengths of two different approaches: empirical modelling based on reservoir computi...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Royal Society Publishing
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8437230/ https://www.ncbi.nlm.nih.gov/pubmed/35153579 http://dx.doi.org/10.1098/rspa.2021.0135 |