Robustness of LSTM neural networks for multi-step forecasting of chaotic time series

Authors

Keywords

Deterministic chaos, Recurrent neural networks, Teacher forcing, Exposure bias, Multi-step prediction, Nonlinear time series

Journal

Volume 139, Issue -, Pages 110045

Publisher

Elsevier BV

Online

2020-06-30

DOI

10.1016/j.chaos.2020.110045

Contact the author

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started