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一个新的基于注意力的CNN_GRU模型用于空间时间PM2.5预测

Sara Haghbayan1,1, Mehdi Momeni2,2, Behnam Tashayo1,1

  • 1Department of Civil Engineering and Transportation, University of Isfahan, Isfahan, Iran.

Environmental science and pollution research international
|August 22, 2024
PubMed
概括

难以预测细颗粒物 (PM2.5) 的污染. 本研究介绍了一种先进的AC_GRU模型,使用机器学习准确预测PM2.5分布,改善空气质量管理.

关键词:
注意力机制注意力机制深度学习是一种深度学习.计入计算是指计入计算的方法.机器学习算法 机器学习算法对于PM2.5来说,这是一个很好的例子.预测空间时间.

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相关概念视频

End Point Prediction: Gran Plot01:07

End Point Prediction: Gran Plot

A Gran plot is used to predict the equivalence volume or endpoint of a potentiometric or acid-base titration without reaching the endpoint. Typically, titration data is collected as a function of the titrant's volume up to a point less than the equivalence volume and then transformed into a linear format. The straight line is extended to the x-axis, indicating the necessary titrant volume to achieve the equivalence point.
For potentiometric titration, the Gran plot is created by plotting the...