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Predicting future dynamics from short-term time series using an Anticipated Learning Machine
Predicting time series has significant practical applications over different disciplines. Here, we propose an Anticipated Learning Machine (ALM) to achieve precise future-state predictions based on short-term but high-dimensional data. From non-linear dynamical systems theory, we show that ALM can t...
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| Vydáno v: | Natl Sci Rev |
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| Hlavní autoři: | , , , , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Oxford University Press
2020
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8288952/ https://ncbi.nlm.nih.gov/pubmed/34692127 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/nsr/nwaa025 |
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