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What is Machine Learning in Wastewater Treatment about?

This study investigates the use of machine learning algorithms, specifically artificial neural networks (ANN), for dynamic system identification in wastewater treatment plants (WWTP). The proposed model effectively predicts key variables such as dissolved oxygen, tank temperature, and tank level, achieving a mean squared error of 0.166 and a coefficient of determination of 0.967. The research highlights the importance of data preprocessing, model architecture, and the potential for machine learning to optim

Author

gimtce GIMTCE2022

Language

EN