Ensemble reservoir computing's prediction uncertainty serves as a data-driven indicator of local dynamical properties in spatiotemporal chaotic systems, matching known measures like Lyapunov spectra.
Zimmermann and Ulrich Parlitz
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Data-driven characterization of spatiotemporal chaos using ensemble reservoir computing
Ensemble reservoir computing's prediction uncertainty serves as a data-driven indicator of local dynamical properties in spatiotemporal chaotic systems, matching known measures like Lyapunov spectra.