Modeling the infiltration rate of wastewater infiltration basins considering water quality parameters using different artificial neural network techniques

• Main Authors: Abdalrahman, Ghada, Lai, Sai Hin, Kumar, Pavitra, Ahmed, Ali Najah, Sherif, Mohsen, Sefelnasr, Ahmed, Chau, Kwok Wing, Elshafie, Ahmed
• Format: Article
• Published: Taylor & Francis 2022
• Subjects: QA75 Electronic computers. Computer science; T Technology (General); TJ Mechanical engineering and machinery
• Online Access: http://eprints.um.edu.my/32715/

Predicting the infiltration rate (IR) of treated wastewater (TWW) is essential in controlling clogging problems. Most researchers that predict the IR using neural network models considered the characteristics parameters of soil without considering those of TWW. Therefore, this study aims to develop...