Data-driven forecasting of high-dimensional chaotic systems with long short-term memory networks
We introduce a data-driven forecasting method for high-dimensional chaotic systems using long shortterm memory (LSTM) recurrent neural networks. The proposed LSTM neural networks perform inference of high-dimensional dynamical systems in their reduced order space and are shown to be an effective set...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
The Royal Society,
2019-01-11T20:36:26Z.
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| Subjects: | |
| Online Access: | Get fulltext |