Stepping forward through echoes of the past : forecasting with Echo State Networks

By Iulian Ilies, Herbert Jaeger, Olegas Kosuchinas, Monserrat Rincon, Vytenis Šakėnas, Narunas Vaskevicius. 2007

Citations in the corpus

• Forecasting Across Time Series Databases using Long Short-Term Memory Networks on Groups of Similar Series (2017, background): “…as recurrent neural networks, echo state networks, generalized regression neural networks and ensemble architectures to uplift the constraints of the conventional NN architecture (Nelson et al., 1999; Zhang and Qi, 2005; Ilies et al., 2007; Rahman et al., 2016; Yan, 2012; Zimmermann et al., 2012).”
• Temporal data classification and forecasting using a memristor-based reservoir computing system (2019, unknown): “4b at time steps 570–650 (Supplementary Note 5).”