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Deep time-delay reservoir computing: Dynamics and memory capacity

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Publication:5139760
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DOI10.1063/5.0017974zbMath1451.37101arXiv2006.06322OpenAlexW3087497040WikidataQ100412215 ScholiaQ100412215MaRDI QIDQ5139760

Kathy Ludge, Mirko Goldmann, Sergiy Yanchuk, Felix Köster

Publication date: 10 December 2020

Published in: Chaos: An Interdisciplinary Journal of Nonlinear Science (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2006.06322



Mathematics Subject Classification ID

Time series analysis of dynamical systems (37M10) Computational methods for ergodic theory (approximation of invariant measures, computation of Lyapunov exponents, entropy, etc.) (37M25)


Related Items (1)

Absolute stability and absolute hyperbolicity in systems with discrete time-delays



Cites Work

  • Introduction to functional differential equations
  • Deep reservoir neural networks for trees
  • Enhancing Ikeda time delay system by breaking the symmetry of sine nonlinearity
  • Spatio-temporal phenomena in complex systems with time delays
  • Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations
  • Delay-induced switched states in a slow–fast system
  • Applied Delay Differential Equations




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