Hybrid improved empirical mode decomposition and BP neural network model for the prediction of sea surface temperature
<p>Sea surface temperature (SST) is the major factor that affects the ocean–atmosphere interaction, and in turn the accurate prediction of SST is the key to ocean dynamic prediction. In this paper, an SST-predicting method based on empirical mode decomposition (EMD) algorithms and back-propaga...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2019-04-01
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| Series: | Ocean Science |
| Online Access: | https://www.ocean-sci.net/15/349/2019/os-15-349-2019.pdf |