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

标题
Robustness of LSTM neural networks for multi-step forecasting of chaotic time series
作者
关键词
Deterministic chaos, Recurrent neural networks, Teacher forcing, Exposure bias, Multi-step prediction, Nonlinear time series
出版物
CHAOS SOLITONS & FRACTALS
Volume 139, Issue -, Pages 110045
出版商
Elsevier BV
发表日期
2020-06-30
DOI
10.1016/j.chaos.2020.110045

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