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Updated: Jun 23, 2025

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一个集成基于风向的动态图形网络的深度学习模型,用于臭氧预测

Shiyi Wang1, Yiming Sun1, Haonan Gu1

  • 1College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310058, China.

The Science of the total environment
|June 25, 2024
PubMed
概括

这项研究引入了一种新的深度学习模型,用于准确预测臭氧污染. 基于风向的动态时空图形网络 (WDDSTG-Net) 通过考虑实时风数据和空间关系来改善预测.

关键词:
深度学习是一种深度学习.动态图形结构 动态图形结构图表神经网络的神经网络臭氧的预测预测

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