Using Machine Learning to predict extreme events in the Hénon map

20 Feb 2020Martin LellepJonathan PrexlMoritz LinkmannBruno Eckhardt

Machine Learning (ML) inspired algorithms provide a flexible set of tools for analyzing and forecasting chaotic dynamical systems. We here analyze the performance of one algorithm for the prediction of extreme events in the two-dimensional H\'enon map at the classical parameters... (read more)

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