Application of Artificial Neural Networks on Water and Wastewater Prediction: A Review

Abstract Recently, there has been a growing interest in artificial neural networks, a rough simulation of the human brain's information processing ability, as modern and vastly sophisticated computational techniques. This interest has also been reflected in the water and wastewater field. This chapter presents a review of articles on the application of neural networks as useful tools to solve various problems in wastewater fields, especially those characterized by pollutants prediction. After a short description of theoretical background and practical basics concerning the computations performed employing neural networks, the essential water and wastewater applications of neural networks are demonstrated with suitable references. The considerable role of neural networks in prediction, simulation, optimization, and searching for the relationships between each parameter and treatment efficiency is discussed.