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A Comparative Study of Reservoir Computing for Temporal Signal Processing
Reservoir Computing (RC) is a potent machine learning paradigm designed for processing time-dependent data. Its unique architecture, featuring a fixed, randomly connected reservoir and a trainable output layer, offers advantages…