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Forecasting the Forced Van der Pol Equation with Frequent Phase Shifts Using a Reservoir Computer
April 24, 2024, 4:42 a.m. | Sho Kuno, Hiroshi Kori
cs.LG updates on arXiv.org arxiv.org
Abstract: A reservoir computer (RC) is a recurrent neural network (RNN) framework that achieves computational efficiency where only readout layer training is required. Additionally, it effectively predicts nonlinear dynamical system tasks and has various applications. RC is effective for forecasting nonautonomous dynamical systems with gradual changes to the external drive amplitude. This study investigates the predictability of nonautonomous dynamical systems with rapid changes to the phase of the external drive. The forced Van der Pol equation …
abstract applications arxiv computational computer cs.lg cs.ne efficiency equation forecasting framework layer network neural network nlin.ao recurrent neural network rnn tasks training type van
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