Pm2.5 forecast in korea using the long short‑term memory (lstm) model

HIGHLIGHTS

• who: Chang-Hoi Ho from the The National Institute of Environmental Research, under the Ministry of Environment of Korea, provides two-day forecasts have published the article: PM2.5 Forecast in Korea using the Long Shortu2011Term Memory (LSTM) Model, in the Journal: (JOURNAL) of January/10,/2022
• what: This study evaluates forecasts from the long short-term memory (LSTM) algorithm relative to those from CMAQ-solely and AirKorea using observations from 2019. If the curve is located on the upper left and the AUC is close to 1, the model shows a better performance. u221a . . .
  

   

  

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