A novel combined model based on echo state network - a case study of PM10 and PM2.5 prediction in China
Particulate Matters such as PM10, PM2.5 may contain heavy metal oxides and harmful substances that threaten human health and environmental quality. In this paper, we propose a new combined neural network algorithm which based on Elman, echo state network (ESN) and cascaded BP neural network (CBP) to...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | Environmental technology. - 1993. - 41(2020), 15 vom: 12. Juni, Seite 1937-1949
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| 1. Verfasser: |
Zhang, Hairui
(VerfasserIn) |
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| Weitere Verfasser: |
Shang, Zhihao,
Song, Yanru,
He, Zhaoshuang,
Li, Lian |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2020
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| Zugriff auf das übergeordnete Werk: | Environmental technology
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| Schlagworte: | Journal Article
ESN
Elman
PM10 and PM2.5
PSO
SACBP
machine learning
neural network model
Air Pollutants
Metals, Heavy
Particulate Matter |
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