Prediction of PM2.S concentration in Changchun based on ensemble learning model
Author:
Affiliation:
1. Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences,Changchun,Jilin,China,130102
2. Changchun University, School of Science,Changchun,China
Funder
National Natural Science Foundation of China
China Postdoctoral Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10091210/10091169/10091343.pdf?arnumber=10091343
Reference14 articles.
1. PM2.5 Concentration Prediction Based on Combined Model;yang;International Journal of Education and Teaching Research,2021
2. Web media and stock markets: A survey and future directions from a big data perspective;li;IEEE Transactions on Knowledge and Data Engineering,2017
3. Long Short-Term Memory based PM2.5 Concentration Prediction Method;jiang;Long Short-Term Memory based PM2 5 Concentration Prediction Method,2021
4. Air Pollution Prediction Using Long Short-Term Memory (LSTM) and Deep Autoencoder (DAE) Models
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