2023年 第17卷 第2期
《环境科学与工程前沿（英文）》 >> 2023年 第17卷 第2期 doi: 10.1007/s11783-023-1621-4
Prediction and cause investigation of ozone based on a double-stage attention mechanism recurrent neural network
1. School of Environmental and Chemical Engineering, Shanghai University, Shanghai 200444, China;1. School of Environmental and Chemical Engineering, Shanghai University, Shanghai 200444, China;2. Shanghai Jinshan Environmental Monitoring Station, Shanghai 201500, China;1. School of Environmental and Chemical Engineering, Shanghai University, Shanghai 200444, China;1. School of Environmental and Chemical Engineering, Shanghai University, Shanghai 200444, China;1. School of Environmental and Chemical Engineering, Shanghai University, Shanghai 200444, China;1. School of Environmental and Chemical Engineering, Shanghai University, Shanghai 200444, China;1. School of Environmental and Chemical Engineering, Shanghai University, Shanghai 200444, China;2. Shanghai Jinshan Environmental Monitoring Station, Shanghai 201500, China;3. School of Economics, Shanghai University, Shanghai 200237, China;1. School of Environmental and Chemical Engineering, Shanghai University, Shanghai 200444, China
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摘要
● Used a double-stage attention mechanism model to predict ozone.
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