Reconstructing coupled time series in climate systems using three kinds of machine-learning methods
<p>Despite the great success of machine learning, its application in climate dynamics has not been well developed. One concern might be how well the trained neural networks could learn a dynamical system and what will be the potential application of this kind of learning. In this paper, three...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2020-09-01
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| Series: | Earth System Dynamics |
| Online Access: | https://esd.copernicus.org/articles/11/835/2020/esd-11-835-2020.pdf |