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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...

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Detalles Bibliográficos
Autores principales: Doan, N. A. K., Polifke, W., Magri, L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society Publishing 2021
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