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Predicting hidden structure in dynamical systems
DOI:10.1038/s42256-021-00329-8.png)
Abstract
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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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