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Reservoir computing with random and optimized time-shifts
Enrico Del Frate1, Afroza Shirin1, Francesco Sorrentino1
1Mechanical Engineering Department, University of New Mexico, Albuquerque, New Mexico 87131, USA.
Abstract:
We investigate the effects of application of random time-shifts to the readouts of a reservoir computer in terms of both accuracy (training error) and performance (testing error). For different choices of the reservoir parameters and different "tasks," we observe a substantial improvement in both accuracy and performance. We then develop a simple but effective technique to optimize the choice of the time-shifts, which we successfully test in numerical experiments.
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