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PM2.5 Forecast Based on a Multiple Attention Long Short-Term Memory (MAT-LSTM) Neural Networks
Analytical Letters ( IF 1.6 ) Pub Date : 2020-07-09 , DOI: 10.1080/00032719.2020.1788050 Hongwu Yuan 1 , Guoming Xu 2 , Teng Lv 1 , Xiqin Ao 1 , Yiweng Zhang 1
Analytical Letters ( IF 1.6 ) Pub Date : 2020-07-09 , DOI: 10.1080/00032719.2020.1788050 Hongwu Yuan 1 , Guoming Xu 2 , Teng Lv 1 , Xiqin Ao 1 , Yiweng Zhang 1
Affiliation
Air pollution, especially by particulate matter with diameters less than 2.5 μm (PM2.5), is a serious threat to public health. The accurate prediction of PM2.5 concentration is significant for air ...
中文翻译：
基于多注意力长短期记忆 (MAT-LSTM) 神经网络的 PM2.5 预测
空气污染，尤其是直径小于 2.5 微米的颗粒物 (PM2.5)，对公众健康构成严重威胁。PM2.5浓度的准确预测对空气...
更新日期：2020-07-09
中文翻译：
基于多注意力长短期记忆 (MAT-LSTM) 神经网络的 PM2.5 预测
空气污染，尤其是直径小于 2.5 微米的颗粒物 (PM2.5)，对公众健康构成严重威胁。PM2.5浓度的准确预测对空气...
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