Prediction of chaotic time series using recurrent neural networks and reservoir computing techniques: A comparative study
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In recent years, machine-learning techniques, particularly deep learning, have outperformed traditional time-series forecasting approaches in many contexts, including univariate and multivariate predictions. This study aims to investigate the capability of (i)... ...
