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Efficient Optimisation of Physical Reservoir Computers using only a Delayed Input (2401.14371v1)
Published 25 Jan 2024 in cs.ET, cs.AI, cs.NE, and physics.optics
Abstract: We present an experimental validation of a recently proposed optimization technique for reservoir computing, using an optoelectronic setup. Reservoir computing is a robust framework for signal processing applications, and the development of efficient optimization approaches remains a key challenge. The technique we address leverages solely a delayed version of the input signal to identify the optimal operational region of the reservoir, simplifying the traditionally time-consuming task of hyperparameter tuning. We verify the effectiveness of this approach on different benchmark tasks and reservoir operating conditions.