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Updated: Jun 27, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
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基于多因素驱动的可解释和可解释的混合模型,用于基于多因素驱动的每日流量预测

Wuyi Wan1, Yu Zhou2, Yaojie Chen1

  • 1College of Civil Engineering and Architecture, Zhejiang University, Hangzhou, 310058, China.

Environmental science and pollution research international
|May 6, 2024
PubMed
概括

本研究介绍了一个可解释的TCN-LSTM-多头注意力模型,用于增强流量预测. 混合模型显著提高了准确性,并揭示了流动动态的关键驱动因素.

关键词:
不同的阶段不同阶段.预测流量流动的预测.混合网络是混合网络.多因素驱动的多因素驱动.沙普利的添加式扩展 (SHAP)三个样本的样本.时间序列时间序列

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