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.
Echo State Property Linked to an Input: Exploring a Fundamental Characteristic of Recurrent Neural Networks.Neural Computation 25, 3 (2013), 671–696
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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.