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Learning unseen coexisting attractors

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Publication:6570785
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DOI10.1063/5.0116784MaRDI QIDQ6570785

André Röhm, Daniel J. Gauthier, Ingo Fischer

Publication date: 10 July 2024

Published in: Chaos (Search for Journal in Brave)





Mathematics Subject Classification ID

Dynamical systems and ergodic theory (37-XX) Ordinary differential equations (34-XX)


Related Items (2)

Data-informed reservoir computing for efficient time-series prediction ⋮ Photonic next-generation reservoir computer based on distributed feedback in optical fiber




Cites Work

  • Unnamed Item
  • Coexisting Hidden Attractors in a 4-D Simplified Lorenz System
  • Fading memory and the problem of approximating nonlinear operators with Volterra series
  • Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations
  • On explaining the surprising success of reservoir computing forecaster of chaos? The universal machine learning dynamical system with contrast to VAR and DMD
  • Reservoir Computing
  • Learning dynamics by reservoir computing (In Memory of Prof. Pavol Brunovský)
  • Model-free inference of unseen attractors: reconstructing phase space features from a single noisy trajectory using Reservoir computing




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