PM2.5 Forecast Based on a Multiple Attention Long Short-Term Memory (MAT-LSTM) Neural Networks
Autor: | Teng Lv, Hongwu Yuan, Yiweng Zhang, Xiqin Ao, Guoming Xu |
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Rok vydání: | 2020 |
Předmět: |
Artificial neural network
Meteorology Chemistry 010401 analytical chemistry Biochemistry (medical) Clinical Biochemistry Air pollution 02 engineering and technology Particulates 021001 nanoscience & nanotechnology medicine.disease_cause complex mixtures 01 natural sciences Biochemistry 0104 chemical sciences Analytical Chemistry Long short term memory Electrochemistry medicine 0210 nano-technology Spectroscopy |
Zdroj: | Analytical Letters. 54:935-946 |
ISSN: | 1532-236X 0003-2719 |
DOI: | 10.1080/00032719.2020.1788050 |
Popis: | 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 ... |
Databáze: | OpenAIRE |
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