Design of a hybrid ANN multi-objective whale algorithm for suspended sediment load prediction

• Main Authors: Ehteram, Mohammad, Ahmed, Ali Najah, Latif, Sarmad Dashti, Huang, Yuk Feng, Alizamir, Meysam, Kisi, Ozgur, Mert, Cihan, Ahmed El-Shafie, Ahmed Hussein Kamel
• Format: Article
• Published: 2021
• Subjects: GE Environmental Sciences; QH Natural history
• Online Access: http://eprints.um.edu.my/33974/

There is a need to develop an accurate and reliable model for predicting suspended sediment load (SSL) because of its complexity and difficulty in practice. This is due to the fact that sediment transportation is extremely nonlinear and is directed by numerous parameters such as rainfall, sediment s...