Establishes that fading memory and solution stability hold generically in state-space systems for reservoir computing even without the echo state property, with a distributional attractor perspective for stochastic cases.
Time-series forecasting with deep learning: a survey.Philosophical Transactions of the Royal Society A 379, 2194 (2021), 20200209
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Stochastic dynamics learning with state-space systems
Establishes that fading memory and solution stability hold generically in state-space systems for reservoir computing even without the echo state property, with a distributional attractor perspective for stochastic cases.