Breaking symmetries of the reservoir equations in echo state networks
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Publication:3388179
DOI10.1063/5.0028993zbMath1451.37109arXiv2010.07103OpenAlexW3114685904WikidataQ104678161 ScholiaQ104678161MaRDI QIDQ3388179
Joschka Herteux, Christoph Räth
Publication date: 11 January 2021
Published in: Chaos: An Interdisciplinary Journal of Nonlinear Science (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2010.07103
Related Items (2)
Low dimensional manifolds in reservoir computers ⋮ Symmetry kills the square in a multifunctional reservoir computer
Cites Work
- Measuring the strangeness of strange attractors
- Chaos in fractional-order autonomous nonlinear systems.
- Echo state networks are universal
- A practical method for calculating largest Lyapunov exponents from small data sets
- 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
- Using machine learning to replicate chaotic attractors and calculate Lyapunov exponents from data
- Deterministic Nonperiodic Flow
- Good and bad predictions: Assessing and improving the replication of chaotic attractors by means of reservoir computing
- Reducing network size and improving prediction stability of reservoir computing
- Path length statistics in reservoir computers
- Ridge Regression: Biased Estimation for Nonorthogonal Problems
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