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Discovery of nonlinear dynamical systems using a Runge–Kutta inspired dictionary-based sparse regression approach
In this work, we blend machine learning and dictionary-based learning with numerical analysis tools to discover differential equations from noisy and sparsely sampled measurement data of time-dependent processes. We use the fact that given a dictionary containing large candidate nonlinear functions,...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Royal Society
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9215218/ https://www.ncbi.nlm.nih.gov/pubmed/35756880 http://dx.doi.org/10.1098/rspa.2021.0883 |