Prediction of NOx emissions from co-disposal of municipal solid waste and sludge using a GA-LSTM neural network
Accurately predicting NOx emissions is crucial for effectively controlling pollution during the incineration of municipal solid waste (MSW). This study focuses on the application of genetic algorithm (GA) and long short-term memory (LSTM) neural networks in modeling the relationship between operatin...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | Environmental technology. - 1993. - 46(2025), 22 vom: 09. Sept., Seite 4475-4492
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| 1. Verfasser: |
Qiu, Bo
(VerfasserIn) |
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| Weitere Verfasser: |
Yuan, Quan,
Niu, Yadong,
Mo, Huangxing,
Sun, Chao,
Feng, Jiezhao |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2025
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| Zugriff auf das übergeordnete Werk: | Environmental technology
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| Schlagworte: | Journal Article
LSTM
MSW incineration
NOx emission
co-combustion
sludge
Sewage
Air Pollutants
Solid Waste
Nitrogen Oxides |
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