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Echo State Networks for Time Series Forecasting: Hyperparameter Sweep and Benchmarking
This paper investigates the performance of Echo State Networks (ESNs) for univariate forecasting of monthly and quarterly time series from the M4 Forecasting Competition dataset. We evaluate whether a simple first-order autoregressive ESN can serve as a competitive alternative to widely used forecas
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