计算机科学
人工智能
动力系统理论
统计物理学
机器学习
作者
Daniel J. Gauthier,Ingo Fischer
标识
DOI：10.1038/s42256-021-00329-8
摘要
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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