Reservoir computing uses a variety of physical, biologcal or computational processes to increase the non-linear diversity of input data the outputs of whih can then be used as inputs for a simpler final machine learning stage.. For example, input data might be used to drive electrical impolses into a semi-chaotic silicon substrate and the output currents measured at multiple points.
Defined on page 145
Used on pages 124, 145, 147, 387, 584
Reservoir computing -- main stages