AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Reservoir computing (RC) is a machine learning technique for data-driven modeling of dynamics for forecasting and control, primarily studied in computer science and physics literature with promising applications in neural network learning, physical computing, and neuroscience. Why reservoirs learn and how to choose goo...
This work studies the emergence of low-dimensional dominant manifolds in the training of Reservoir Computing networks for temporal forecasting tasks and shows that the training data generate an invariant subspace of the trained reservoir, whose dimension equals the number of dominant modes.
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