Air Quality Forecast and Evaluation Based on Long Short-Term Memory Network and Fuzzy Algorithm
2021 IEEE 4th International Conference on Knowledge Innovation and Invention (ICKII)(2021)
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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