Air Quality Forecast and Evaluation Based on Long Short-Term Memory Network and Fuzzy Algorithm

Jui-Chuan Cheng, Hsiu-Chin Peng

2021 IEEE 4th International Conference on Knowledge Innovation and Invention (ICKII)(2021)

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摘要
Accurate forecasting of air quality enables the public to formulate effective preventive measures in advance to maintain their health. The Long Short-Term Memory (LSTM) network is used to measure the three major pollutants in Taiwan over the years: PM2.5, O3, and PM10 for the cross-hour Direct Forecast (DF) and Update Forecast (UF) that can only predict the next hour. A new comprehensiv...
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关键词
Technological innovation,Conferences,Air quality,Prediction algorithms,Market research,Mobile handsets,Pollution measurement
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