Dimension of Reservoir Computers
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Abstract (arXiv)
A reservoir computer is a complex dynamical system, often created by coupling nonlinear nodes in a network. The nodes are all driven by a common driving signal. In this work, three dimension estimation methods, false nearest neighbor, covariance and Kaplan-Yorke dimensions, are used to estimate the dimension of the reservoir dynamical system. It is shown that the signals in the reservoir system exist on a relatively low dimensional surface. Changing the spectral radius of the reservoir network can increase the fractal dimension of the reservoir signals, leading to an increase in testing error.
Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). First posted on arXiv 10 Dec 2019.
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Citing papers per year: 2022: 1; 2023: 3; 2024: 2.
6 papers.
- 2023Attractor reconstruction with reservoir computers: The effect of the reservoir's conditional Lyapunov exponents on faithful attractor reconstructioncited by 9
- 2024Optimal training of finitely-sampled quantum reservoir computers for forecasting of chaotic dynamicscited by 9
- 2023Harnessing Synthetic Active Particles for Physical Reservoir Computingcited by 3
- 2023Effects of cavity nonlinearities and linear losses on silicon microring-based reservoir computingcited by 3
- 2022Dimensional criterion for forecasting nonlinear systems by reservoir computingcited by 1
- 2024Prediction of Unobserved Bifurcation by Unsupervised Extraction of Slowly Time-Varying System Parameter Dynamics from Time Series Using Reservoir Computingcited by 0
- 2024Optimal training of finitely-sampled quantum reservoir computers for forecasting of chaotic dynamics2 Sep 2024
- 2024Prediction of Unobserved Bifurcation by Unsupervised Extraction of Slowly Time-Varying System Parameter Dynamics from Time Series Using Reservoir Computing20 Jun 2024
- 2023Attractor reconstruction with reservoir computers: The effect of the reservoir's conditional Lyapunov exponents on faithful attractor reconstruction30 Dec 2023
- 2023Effects of cavity nonlinearities and linear losses on silicon microring-based reservoir computing13 Oct 2023
- 2023Harnessing Synthetic Active Particles for Physical Reservoir Computing27 Jul 2023
- 2022Dimensional criterion for forecasting nonlinear systems by reservoir computing9 Feb 2022