PM2.5 concentration prediction system combining fuzzy information granulation and multi-model ensemble learning

With the rapid development of economy, air pollution caused by industrial expansion has caused serious harm to human health and social development. Therefore, establishing an effective air pollution concentration prediction system is of great scientific and practical significance for accurate and re...

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Veröffentlicht in:	Journal of environmental sciences (China) Jg. 156; S. 332 - 345
Hauptverfasser:	Chen, Yamei, Wang, Jianzhou, Li, Runze, Gao, Jialu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.10.2025
Schlagworte:	air pollution Air pollution prediction air quality algorithms Canis aureus Ensemble learning model Fuzzy information granulation human health Meta-heuristic optimization algorithm Point interval prediction pollutants prediction regression analysis uncertainty analysis Fuzzy information granulation Meta-heuristic optimization algorithm Point interval prediction Ensemble learning model Air pollution prediction
ISSN:	1001-0742
Online-Zugang:	Volltext
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