,西PM2.5

Zuhan Liu1,2, Zihai Fang3, Yuanhao Hu3

  • 1School of Information Engineering, Nanchang Institute of Technology, Nanchang, 330099, China. lzh512@nit.edu.cn.

Scientific reports
|March 25, 2025
PubMed
概括

这项研究引入了一种混合深度学习模型,用于准确预测PM2.5,其性能优于传统方法. 这种新的方法将变压器和LSTM与粒子群优化相结合,用于可靠的空气质量预测.

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