WWEM 2018

WWEM 2016 - IWA Papers

Paper Title: Neural Networks for Wastewater Treatment Process - A Review
Paper Topic: Modelling & Control (Wastewater Systems)
Presenter Name: Ms Heli Gong
Company/Organisation: University of Calgary

Paper Information :

Artificial neural networks (ANN) have been widely employed to model complex and dynamic environmental systems. ANN offers a powerful tool to simulate nonlinear environmental systems and can also be coupled with mechanistic models to increase the prediction capability without necessarily increasing the mathematical complexity. This paper reviews the existing ANN models available in literature concerning wastewater treatment processes, including the activated sludge, membrane bio-reactor (MBR) and granulation. Our growing knowledge on mathematical modeling of aerobic granulation might facilitate the engineering and optimization of aerobic granular sludge technology as one of the most promising techniques in the biological wastewater treatment.