Spatiotemporal prediction of air quality based on LSTM neural network

• Published in: Alexandria engineering journal Vol. 60; no. 2; pp. 2021 - 2032
• Main Authors: Seng, Dewen, Zhang, Qiyan, Zhang, Xuefeng, Chen, Guangsen, Chen, Xiyuan
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.04.2021; Elsevier
• Subjects: Air quality prediction; Deep learning; LSTM; Supervised learning; Time series; Deep learning; Air quality prediction; LSTM; Supervised learning; Time series

Accurate monitoring of air quality is of great importance to our daily life. By predicting the air quality in advance, we can make timely warnings and defenses to minimize the threat to life. With a large number of environmental data, the air quality prediction based on deep learning technology is s...