您当前的位置:
首页 >
文章列表页 >
Deep Learning-Based Joint Multi-City Prediction Model for Air Pollution
更新时间:2024-11-19
    • Deep Learning-Based Joint Multi-City Prediction Model for Air Pollution

    • In the field of urban air pollution prediction, experts have proposed a multi city joint prediction model Res Att SimVP based on deep learning, which effectively alleviates the impact of pollutant diffusion in surrounding cities and provides a solution for predicting air pollutant concentrations.
    • Software Guide   Vol. 23, Issue 11, Pages: 107-115(2024)
    • DOI:10.11907/rjdk.232146    

      CLC: TP183
    • Received:10 November 2023

      Published:15 November 2024

    移动端阅览

  • YANG Wulin,YANG Hao,ZHOU Hang,et al.Deep Learning-Based Joint Multi-City Prediction Model for Air Pollution[J].Software Guide,2024,23(11):107-115. DOI: 10.11907/rjdk.232146.

  •  
  •  

0

Views

73

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Review and Simulation of Short-Term Traffic Flow Prediction Methods Based on Deep Learning
A Multi-attention-based Feature Selection Method for Multivariate Time Series
Rumor Detection Method Based on Multi-Level Implicit Self-Enhancement
Individualized Student Knowledge Tracking Model Based on Self-attention Mechanism
Reconstruction of Sparse CT Images via the Integration of Generative Adversarial Networks and Diffusion Models

Related Author

ZHU Shiwei
YE Baolin
WU Weimin
HU Zi-yin
GUI Ning
ZHAO Kaifeng
JIANG Yu
WANG Cong

Related Institution

School of Informatics Science and Technology, Zhejiang Sci-Tech University
College of Information Science and Engineering, Jiaxing University
State Key Laboratory of Industrial Control Technology, Zhejiang University
School of Information Science and Technology, Zhejiang Sci-Tech University
School of Computer Science, Central South University
0