Novel PCA-driven extreme machine learning for comprehensive modelling of metropolitan wastewater treatment systems
This study models metropolitan wastewater treatment plants (MWWTPs) in Kolkata using an Extreme Learning Machine (ELM) combined with Principal Component Analysis (PCA). PCA reduces input data dimensionality, while ELM enhances predictive accuracy. The proposed PCA-ELM model significantly outperforms...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-01-01
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| Series: | Desalination and Water Treatment |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1944398625000530 |
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| author | Vini Antony Grace N Ghadah Aldehim Nuha Alruwais Prabakar T.N. |
| author_facet | Vini Antony Grace N Ghadah Aldehim Nuha Alruwais Prabakar T.N. |
| author_sort | Vini Antony Grace N |
| collection | DOAJ |
| description | This study models metropolitan wastewater treatment plants (MWWTPs) in Kolkata using an Extreme Learning Machine (ELM) combined with Principal Component Analysis (PCA). PCA reduces input data dimensionality, while ELM enhances predictive accuracy. The proposed PCA-ELM model significantly outperforms standard ELM and traditional models like Multiple Linear Regression (MLR) and Multi-Layer Perceptron (MLP), improving accuracy for key parameters such as BODeff (60.1 %), CODeff (92.3 %), TNeff (86.5 %), and TPeff (72.5 %). These results demonstrate ELM's effectiveness for wastewater treatment modeling and sustainable management. |
| format | Article |
| id | doaj-art-a6456bd3fc37445995f24ce62504adcc |
| institution | Kabale University |
| issn | 1944-3986 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Desalination and Water Treatment |
| spelling | doaj-art-a6456bd3fc37445995f24ce62504adcc2025-02-11T04:34:42ZengElsevierDesalination and Water Treatment1944-39862025-01-01321101037Novel PCA-driven extreme machine learning for comprehensive modelling of metropolitan wastewater treatment systemsVini Antony Grace N0Ghadah Aldehim1Nuha Alruwais2Prabakar T.N.3Department of Electronics and Communication Engineering, R.M.D. Engineering College, Kavaraipettai, Chennai, Tamilnadu, India; Corresponding author.Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi ArabiaDepartment of Computer Science and Engineering, College of Applied Studies and Community Services, King Saud University, Saudi Arabia, P.O.Box 22459, Riyadh 11495, Saudi ArabiaAssociate Professor, SEEE,SASTRA University, Thanjavur, Tamilnadu, IndiaThis study models metropolitan wastewater treatment plants (MWWTPs) in Kolkata using an Extreme Learning Machine (ELM) combined with Principal Component Analysis (PCA). PCA reduces input data dimensionality, while ELM enhances predictive accuracy. The proposed PCA-ELM model significantly outperforms standard ELM and traditional models like Multiple Linear Regression (MLR) and Multi-Layer Perceptron (MLP), improving accuracy for key parameters such as BODeff (60.1 %), CODeff (92.3 %), TNeff (86.5 %), and TPeff (72.5 %). These results demonstrate ELM's effectiveness for wastewater treatment modeling and sustainable management.http://www.sciencedirect.com/science/article/pii/S1944398625000530Wastewater TreatmentExtreme Learning Machine (ELM)Principal Component Analysis (PCA)Predictive accuracyMultiple Linear Regression (MLR)Multi-Layer Perceptron (MLP) |
| spellingShingle | Vini Antony Grace N Ghadah Aldehim Nuha Alruwais Prabakar T.N. Novel PCA-driven extreme machine learning for comprehensive modelling of metropolitan wastewater treatment systems Desalination and Water Treatment Wastewater Treatment Extreme Learning Machine (ELM) Principal Component Analysis (PCA) Predictive accuracy Multiple Linear Regression (MLR) Multi-Layer Perceptron (MLP) |
| title | Novel PCA-driven extreme machine learning for comprehensive modelling of metropolitan wastewater treatment systems |
| title_full | Novel PCA-driven extreme machine learning for comprehensive modelling of metropolitan wastewater treatment systems |
| title_fullStr | Novel PCA-driven extreme machine learning for comprehensive modelling of metropolitan wastewater treatment systems |
| title_full_unstemmed | Novel PCA-driven extreme machine learning for comprehensive modelling of metropolitan wastewater treatment systems |
| title_short | Novel PCA-driven extreme machine learning for comprehensive modelling of metropolitan wastewater treatment systems |
| title_sort | novel pca driven extreme machine learning for comprehensive modelling of metropolitan wastewater treatment systems |
| topic | Wastewater Treatment Extreme Learning Machine (ELM) Principal Component Analysis (PCA) Predictive accuracy Multiple Linear Regression (MLR) Multi-Layer Perceptron (MLP) |
| url | http://www.sciencedirect.com/science/article/pii/S1944398625000530 |
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