A state-space definition of fading memory is introduced that extends incremental input-to-output stability via a memory kernel, is implied by incremental input-to-state stability under bounded inputs, and holds for current-driven memristor models.
Francis Wyffels, Benjamin Schrauwen, and Dirk Stroobandt.Stable Output Feedback in Reservoir Computing Using Ridge Regression
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Optimizing eigenvalues of the adjacency matrix in linear reservoir computers yields better training and test performance than random linear reservoirs and often beats comparable nonlinear ones.
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State-space fading memory
A state-space definition of fading memory is introduced that extends incremental input-to-output stability via a memory kernel, is implied by incremental input-to-state stability under bounded inputs, and holds for current-driven memristor models.
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Optimizing the Network Topology of a Linear Reservoir Computer
Optimizing eigenvalues of the adjacency matrix in linear reservoir computers yields better training and test performance than random linear reservoirs and often beats comparable nonlinear ones.