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Classification of regular and chaotic motions in Hamiltonian systems with deep learning
This paper demonstrates the capabilities of convolutional neural networks (CNNs) at classifying types of motion starting from time series, without any prior knowledge of the underlying dynamics. The paper applies different forms of deep learning to problems of increasing complexity with the goal of...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8814210/ https://www.ncbi.nlm.nih.gov/pubmed/35115591 http://dx.doi.org/10.1038/s41598-022-05696-9 |