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Updated: Jan 29, 2026

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预测每日环境PM2.5度在青岛市使用深度学习和混合可解释模型,并使用SHAP分析驱动因素.

Zhenfang He1,2, Qingchun Guo1,2,3, Zuhan Zhang1

  • 1School of Geography and Environment, Liaocheng University, Liaocheng 252000, China.

Toxics
|January 28, 2026
PubMed
概括

一个新的混合深度学习模型准确地预测了每天的PM2.5空气污染. 这种先进的模型结合了CNN,BiLSTM和Transformer,为公共卫生和环境政策提供了宝贵的见解.

关键词:
一个年龄,一个年龄.这就是BiLSTM.在美国,CNN是CNN.对于PM2.5来说,这是一个很好的例子.一个RNN RNN这就是 SHAP SHAP 的意思.深度学习是一种深度学习.变压器变压器变压器变压器

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