A comparison of recurrent training algorithms for time series analysis and system identification

By J. S. Anderson, Ioannis G. Kevrekidis, R. Rico-Martínez. 1996

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1. Maizar Raissi
2. G. Em Karniadakis
3. Paris Perdikaris
4. Stefania Fresca
5. Yibo Yang
6. Liu Yang
7. Dongkun Zhang
8. Ameya Dilip Jagtap

Citations in the corpus

• Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations (2018, background): “The literature on data-driven discovery of dynamical systems [2] is vast and encompasses equation-free modeling [3], artificial neural networks [4, 5, 6, 7], nonlinear regression [8], empirical dynamic modeling [9, 10], modeling emergent behavior [11], automated inference of dynamics [12, 13, 14], n”