|国家科技期刊平台
| 注册
首页|期刊导航|中国海洋大学学报（自然科学英文版）|Interpretable Machine Learning-Based Spring Algal Bloom Forecast Model for the Coastal Waters of Zhejiang

Interpretable Machine Learning-Based Spring Algal Bloom Forecast Model for the Coastal Waters of Zhejiang

HUANG Guoqiang BAO Min ZHANG Zhao GU Dongming LIANG Liansong TAO Bangyi

中国海洋大学学报（自然科学英文版）2025，Vol.24Issue(1)：1-12,12.
✕
中国海洋大学学报（自然科学英文版）2025，Vol.24Issue(1)：1-12,12.DOI:10.1007/s11802-025-5833-z

Interpretable Machine Learning-Based Spring Algal Bloom Forecast Model for the Coastal Waters of Zhejiang

Interpretable Machine Learning-Based Spring Algal Bloom Forecast Model for the Coastal Waters of Zhejiang

HUANG Guoqiang 1BAO Min 2ZHANG Zhao 3GU Dongming 3LIANG Liansong 3TAO Bangyi1

作者信息

  • 1. State Key Laboratory of Satellite Ocean Environment Dynamics,Second Institute of Oceanography,Ministry of Natural Resource,Hangzhou 310012,China
  • 2. State Key Laboratory of Satellite Ocean Environment Dynamics,Second Institute of Oceanography,Ministry of Natural Resource,Hangzhou 310012,China||Observation and Research Station of Yangtze River Delta Marine Ecosystems,Ministry of Natural Resources,Zhoushan 316000,China
  • 3. Wenzhou Marine Center,Ministry of Natural Resources,Wenzhou 325000,China||Key Laboratory of Marine Ecological Monitoring and Restoration Technologies,Ministry of Natural Resource,Shanghai 201206,China
  • 折叠

摘要

关键词

spring algal bloom/forecast/LSTM/interpretable

Key words

spring algal bloom/forecast/LSTM/interpretable

引用本文复制引用

HUANG Guoqiang,BAO Min,ZHANG Zhao,GU Dongming,LIANG Liansong,TAO Bangyi..Interpretable Machine Learning-Based Spring Algal Bloom Forecast Model for the Coastal Waters of Zhejiang[J].中国海洋大学学报（自然科学英文版）,2025,24(1):1-12,12.

基金项目

The authors express their gratitude to the Zhejiang Pro-vincial Natural Science Foundation of China(No.LY21D 060003),the Project of State Key Laboratory of Satellite Ocean Environment Dynamics,Second Institute of Ocean-ography,MNR(No.SOEDZZ2103),the National Natural Science Foundation of China(No.42076216),and the Open Research Fund of the Key Laboratory of Marine Ecologi-cal Monitoring and Restoration Technologies,MNR(No.MEMRT202210). （No.LY21D 060003）

中国海洋大学学报（自然科学英文版）

1672-5182

访问量0
|
下载量0
段落导航相关论文