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Deciphering Dynamical Nonlinearities in Short Time Series Using Recurrent Neural Networks
Surrogate testing techniques have been used widely to investigate the presence of dynamical nonlinearities, an essential ingredient of deterministic chaotic processes. Traditional surrogate testing subscribes to statistical hypothesis testing and investigates potential differences in discriminant st...
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| Publicado no: | Sci Rep |
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| Autor principal: | |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6775059/ https://ncbi.nlm.nih.gov/pubmed/31578387 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-50625-y |
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