Recurrent neural networks for dynamical systems: Applications to ordinary differential equations, collective motion, and hydrological modeling

Classical methods of solving spatiotemporal dynamical systems include statistical approaches such as autoregressive integrated moving average, which assume linear and stationary relationships between systems’ previous outputs. Development and implementation of linear methods are relatively simple, b...

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Veröffentlicht in:	Chaos (Woodbury, N.Y.) N.Y.), 2023-01, Vol.33 (1), p.013109-013109
Hauptverfasser:	Gajamannage, K., Jayathilake, D. I., Park, Y., Bollt, E. M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Differential equations Dynamical systems Error correction Forecasting Hydrology Mathematical models Modelling Neural networks Ordinary differential equations Process variables Reconstruction Recurrent neural networks Regular Sequences
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