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physics.comp-ph2019
Learning the Tangent Space of Dynamical Instabilities from Data
Antoine Blanchard, Themistoklis P. Sapsis
For a large class of dynamical systems, the optimally time-dependent (OTD) modes, a set of deformable orthonormal tangent vectors that track directions of instabilities along any t…
physics.comp-ph2018
Data-Driven Forecasting of High-Dimensional Chaotic Systems with Long Short-Term Memory Networks
Pantelis R. Vlachas, Wonmin Byeon, Zhong Y. Wan +2
We introduce a data-driven forecasting method for high-dimensional chaotic systems using long short-term memory (LSTM) recurrent neural networks. The proposed LSTM neural networks…