Comparative analysis and application of soft sensor models in domestic wastewater treatment for advancing sustainability
This study focuses on the development and evaluation of soft sensor models for predicting NH3-N values in a wastewater treatment process. The study compares the performance of linear regression (LR), neural networks (NN) and random forest regression (RFR) models. The proposed methodology involves op...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | Environmental technology. - 1993. - (2024) vom: 22. Okt., Seite 1-22
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| 1. Verfasser: |
Qiu, Cheng
(VerfasserIn) |
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| Weitere Verfasser: |
Huang, Fang-Qian,
Zhong, Yu-Jie,
Wu, Ju-Zhen,
Li, Qiang-Lin,
Zhan, Chun-Hong,
Zhang, Yu-Fan,
Wang, Liting |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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| Zugriff auf das übergeordnete Werk: | Environmental technology
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| Schlagworte: | Journal Article
NH3-N prediction
Soft sensors
linear regression
random forest regression
recurrent neural networks |
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