Predicting the effluent total coliform count of UV disinfection for wastewater treatment using artificial neural networks

• Main Authors: Liu, Marc Kenzo Wong, Lu, Michael Chin Lumampao, Ngo, Jennings Jervis Te Mew, Que, Jaena Mae Ong
• Format: text
• Language: English
• Published: Animo Repository 2021
• Subjects: Sewage—Purification—Ultraviolet treatment; Enterobacteriaceae; Neural networks (Computer science); Chemical Engineering
• Online Access: https://animorepository.dlsu.edu.ph/etdb_chemeng/15; https://animorepository.dlsu.edu.ph/cgi/viewcontent.cgi?article=1011&context=etdb_chemeng
• Institution: De La Salle University

The use of UV transmittance as the wastewater disinfection method has been increasing among local water utilities. Due to technological advancements in computing, artificial neural networks (ANN) have been proven to be a more appropriate modeling tool than process-based modeling. In this study, two...