“…Reservoir Computing (RC) [1] is a paradigm for recurrent neural network design that, in the latter years, has found wide application thanks to its (relative) simplicity and effectiveness in dealing with sequential data processing tasks, such as with sensor network data [2], [3],mobile robot navigational data [4], [5], telephone load forecasting [6], ambient assisted living [7], [8], biomedical data [9], [10], etc. RC is based on a conceptual separation between the recurrent part of the network, i.e.…”