Predicting municipal solid waste using a coupled artificial neural network with archimedes optimisation algorithm and socioeconomic components

• Main Authors: Liang, Guoxi, Panahi, Fatemeh, Ahmed, Ali Najah, Ehteram, Mohammad, Band, Shahab S., Elshafie, Ahmed
• Format: Article
• Published: Elsevier 2021
• Subjects: T Technology (General); TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.um.edu.my/28380/

Solid Waste (SW) is one of the critical challenges of urban life. These SWs are considered environmental pollutants that are a threat to ecology and human health. Predicting SW generation is an essential topic for scholars to better manage SWs. This study investigates the application of optimised AN...