Deterministic Reservoir Computing for Chaotic Time Series Prediction

Johannes Viehweg, Constanze Poll, Patrick Mäder

Reservoir Computing was shown in recent years to be useful as efficient to learn networks in the field of time series tasks. Their randomized initialization, a computational benefi…