Predicting coastal algal blooms with environmental factors by machine learning methods
Harmful algal blooms are a major type of marine disaster that endangers the marine ecological environment and human health. Since the algal bloom is a complex nonlinear process with time characteristics, traditional statistical methods often cannot provide good predictions. In this paper, we propose...
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| Auteurs principaux: | , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Elsevier
2021
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| Accès en ligne: | https://doaj.org/article/15fe8bd8888b466a98c1735883b26190 |
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