Novel PCA-driven extreme machine learning for comprehensive modelling of metropolitan wastewater treatment systems

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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Bibliographic Details
Main Authors: Vini Antony Grace N, Ghadah Aldehim, Nuha Alruwais, Prabakar T.N.
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Desalination and Water Treatment
Subjects:
Wastewater Treatment
Extreme Learning Machine (ELM)
Principal Component Analysis (PCA)
Predictive accuracy
Multiple Linear Regression (MLR)
Multi-Layer Perceptron (MLP)
Online Access:http://www.sciencedirect.com/science/article/pii/S1944398625000530
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