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Updated: Jul 11, 2025

Investigating the Relationship between Sea Surface Chlorophyll and Major Features of the South China Sea with Satellite Information
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沿海地表水中总度的可变性,使用现场分析仪结合基于神经网络的预测模型的应用来确定

Li Qiu1, Kunshan Jiang1, Quanlong Li1

  • 1State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China; College of the Environment and Ecology, Xiamen University, Xiamen, China.

The Science of the total environment
|November 2, 2023
PubMed
概括

在通安湾进行的总度 (TA) 测量显示了受水混合和潮影响的季节和天气变化. 一个人工神经网络模型使用盐度,温度,叶绿素和溶解氧气准确地预测了TA.

关键词:
人工神经网络的人工神经网络沿海的碳酸盐系统迪尔的变化率是可以改变的.在现场分析仪.季节性变化 季节性变化总的性 总的性

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