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Updated: Jun 13, 2025

Capturing Flow-weighted Water and Suspended Particulates from Agricultural Canals During Drainage Events
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基于洪水过程的向量方向的长短期记忆研究,用于洪水预测

Tianning Xie1, Caihong Hu2, Chengshuai Liu3

  • 1School of Water Conservancy and Transportation, Zhengzhou University, Zhengzhou, 450001, China.

Scientific reports
|September 13, 2024
PubMed
概括

本研究介绍了一种矢量方向长短记忆 (VD-LSTM) 模型,用于改进洪水预测. 与传统的LSTM模型相比,VD-LSTM模型提高了预测洪水事件的准确性.

关键词:
预测洪水发生情况.洪水排水过程 洪水排水过程的 LSTM 标志.矢量方向的方向是向量的方向.

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