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Deep neural networks to recover unknown physical parameters from oscillating time series
Deep neural networks are widely used in pattern-recognition tasks for which a human-comprehensible, quantitative description of the data-generating process, cannot be obtained. While doing so, neural networks often produce an abstract (entangled and non-interpretable) representation of the data-gene...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9106171/ https://www.ncbi.nlm.nih.gov/pubmed/35560322 http://dx.doi.org/10.1371/journal.pone.0268439 |