Hybridizing traditional and next-generation reservoir computing to accurately and efficiently forecast dynamical systems
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Publication:6592532
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)
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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