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On the Potential of Time Delay Neural Networks to Detect Indirect Coupling between Time Series
Determining the coupling between systems remains a topic of active research in the field of complex science. Identifying the proper causal influences in time series can already be very challenging in the trivariate case, particularly when the interactions are non-linear. In this paper, the coupling...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517103/ https://www.ncbi.nlm.nih.gov/pubmed/33286356 http://dx.doi.org/10.3390/e22050584 |