Application of Deep Learning Models and Network Method for Comprehensive Air-Quality Index Prediction

Application of Deep Learning Models and Network Method for Comprehensive Air-Quality Index Prediction

Accurate pollutant prediction is essential in fields such as meteorology, meteorological disasters, and climate change studies. In this study, long short-term memory (LSTM) and deep neural network (DNN) models were applied to six pollutants and comprehensive air-quality index (CAI) predictions from...

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Bibliographic Details
Main Authors: Donghyun Kim, Heechan Han, Wonjoon Wang, Yujin Kang, Hoyong Lee, Hung Soo Kim
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Applied Sciences
Subjects:
comprehensive air-quality index
deep learning model
kriging
network method
Online Access:https://www.mdpi.com/2076-3417/12/13/6699

Internet

https://www.mdpi.com/2076-3417/12/13/6699

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