Predicting hidden structure in dynamical systems

doi:10.1038/s42256-021-00329-8

2021-04-19

Daniel J. Gauthier *

Ingo Fischer

DOI：10.1038/s42256-021-00329-8

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摘要

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The dynamical properties of a nonlinear system can be learned from its time-series data, but is it possible to predict what happens when the system is tuned far away from its training values?

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Nature Machine Intelligence

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23.9

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1.3K

被引数:

1.5W

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University System of Ohio

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Ohio State University

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