Reservoir Computers with Random and Optimized Time-Shifts

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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Cited by in corpus (3)

• Time Shifts to Reduce the Size of Reservoir Computers
• Solving the time-complexity problem and tuning the performance of quantum reservoir computing by artificial memory restriction
• Time-shift selection for reservoir computing using a rank-revealing QR algorithm