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

• المؤلفون الرئيسيون: Liu, Marc Kenzo Wong, Lu, Michael Chin Lumampao, Ngo, Jennings Jervis Te Mew, Que, Jaena Mae Ong
• التنسيق: text
• اللغة: English
• منشور في: Animo Repository 2021
• الموضوعات: Sewage—Purification—Ultraviolet treatment; Enterobacteriaceae; Neural networks (Computer science); Chemical Engineering
• الوصول للمادة أونلاين: https://animorepository.dlsu.edu.ph/etdb_chemeng/15; https://animorepository.dlsu.edu.ph/cgi/viewcontent.cgi?article=1011&context=etdb_chemeng

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...