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Updated: Jun 15, 2025

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在长江中流的预测基于GRA-CEEMDAN-CNLSTM-DBO的数据

Huaipeng Yao1,2, Yuling Huang3, Pingyu Lv1,4

  • 1School of River and Ocean Engineering, Chongqing Jiao Tong University, Chongqing, 400074, China.

Scientific reports
|August 21, 2024
PubMed
概括

一个新的模型准确地预测了长江的总 (TP),表现优于其他模型. 这一进步有助于在洪水季节管理水质,保护水生生态系统.

关键词:
长期短期存储器 (LSTM) 网络是一种的物质.预测 预测 预测长江流域的长江流域

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