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Hybridizing traditional and next-generation reservoir computing to accurately and efficiently forecast dynamical systems

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Publication:6592532
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DOI10.1063/5.0206232MaRDI QIDQ6592532

Michelle Girvan, D. Amzalag, R. Chepuri, Thomas M. Antonsen

Publication date: 26 August 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)


Cites Work

  • Title not available (Why is that?)
  • Reservoir computing approaches to recurrent neural network training
  • An equation for continuous chaos
  • Stabilizing unstable steady states using extended time-delay autosynchronization
  • Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations
  • Deterministic Nonperiodic Flow
  • Oscillation and Chaos in Physiological Control Systems
  • On explaining the surprising success of reservoir computing forecaster of chaos? The universal machine learning dynamical system with contrast to VAR and DMD
  • Data-informed reservoir computing for efficient time-series prediction







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