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Updated: Feb 4, 2026

Investigating the Relationship between Sea Surface Chlorophyll and Major Features of the South China Sea with Satellite Information
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Investigating the Relationship between Sea Surface Chlorophyll and Major Features of the South China Sea with Satellite Information

Published on: June 13, 2020

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预测印尼爪南海的上游动态:使用ConvLSTM和3D-CNN的深度学习方法

Dwi Rantini1,2, Rumaisa Kruba3, Yudi Haditiar4

  • 1Data Science Technology Study Program, Department of Engineering, Faculty of Advanced Technology and Multidiscipline, Universitas Airlangga, Surabaya, 60115, Indonesia.

MethodsX
|February 2, 2026
PubMed
概括

这项研究表明,与3D-CNN相比,ConvLSTM深度学习在监测和预测南爪海的海洋上游方面优越. 该模型准确地预测了海面温度 (SST),并与当地渔民的活动保持一致.

关键词:
在3D-CNN中使用3D-CNN叶绿素-a是一种.这就是ConvLSTM.海军海军海军海军 海军海军海军上游涌动 (upwelling) 是一种上游涌动.

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