Theoretical and experimental use of normalized mean square error (NMSE) from delay-based reservoir computer for dynamical characterization of systems
This work demonstrates that the NMSE from an RC-based prediction model can be used as an indicator for system dynamical characterization, and provides an alternative approach for probing dynamical regimes from finite time series, paving the way for embedded neuromorphic tools dedicated to the experimental analysis of complex nonlinear systems.