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ANN-Based Prediction for WWTP Performance by gimtce GIMTCE2022 is a document available to read on EtoBox.

What is ANN-Based Prediction for WWTP Performance about?

This systematic review examines the use of artificial neural networks (ANNs) for predicting the performance of full-scale wastewater treatment plants (WWTPs). The study identifies that the majority of research employs feedforward neural networks with backpropagation algorithms, particularly focusing on organic matter indicators for effluent quality prediction. The findings aim to guide future studies in optimizing ANN modeling processes for similar prediction challenges in wastewater treatment.

Author

gimtce GIMTCE2022

Language

EN