Air pollution forecasting application based on deep learning model and optimization algorithm

被引:0
作者
Azim Heydari
Meysam Majidi Nezhad
Davide Astiaso Garcia
Farshid Keynia
Livio De Santoli
机构
[1] Sapienza University,Department of Astronautical, Electrical and Energy Engineering (DIAEE)
[2] Sapienza University of Rome,Department of Planning, Design, and Technology of Architecture
[3] Graduate University of Advanced Technology,Department of Energy Management and Optimization, Institute of Science and High Technology and Environmental Sciences
来源
Clean Technologies and Environmental Policy | 2022年 / 24卷
关键词
Nitrogen dioxide; Sulfur dioxide; Air pollution forecasting; Long short-term memory network; Multi-verse optimization;
D O I
暂无
中图分类号
学科分类号
摘要
引用
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页码:607 / 621
页数:14
相关论文
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