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Updated: Jun 20, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
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Published on: July 24, 2016

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通过将LSTM和基于物理的模型与混合历史和模拟数据集成,优化洪水预测

Jun Li1, Guofang Wu2, Yongpeng Zhang3

  • 1Zhejiang Design Institute of Water Conservancy and Hydroelectric Power Co., Ltd., Zhejiang, China.

Heliyon
|July 23, 2024
PubMed
概括

这项研究通过将物理模型与长短期记忆 (LSTM) 网络相结合,增强了洪水预测. 使用混合数据集实现了最佳结果,提高了水资源管理的预测准确度.

关键词:
预测洪水发生的情况.长期短期记忆 长期短期记忆混合数据是混合数据.基于物理的模型.

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