Data-Driven Forecasting of High-Dimensional Chaotic Systems with Long Short-Term Memory Networks

no code implementations • 21 Feb 2018 • Pantelis R. Vlachas, Wonmin Byeon, Zhong Y. Wan, Themistoklis P. Sapsis, Petros Koumoutsakos

We introduce a data-driven forecasting method for high-dimensional chaotic systems using long short-term memory (LSTM) recurrent neural networks.

Gaussian Processes Time Series +1