An inclusive multiple model for predicting total sediment transport rate in the presence of coastal vegetation cover based on optimized kernel extreme learning models

• Main Authors: Jalil-Masir, Hamed, Fattahi, Rohollah, Ghanbari-Adivi, Elham, Aghbolaghi, Mahdi Asadi, Ehteram, Mohammad, Ahmed, Ali Najah, El-Shafie, Ahmed
• Format: Article
• Published: Springer 2022
• Subjects: GE Environmental Sciences
• Online Access: http://eprints.um.edu.my/41251/

Predicting sediment transport rate (STR) in the presence of flexible vegetation is a critical task for modelers. Sediment transport modeling methods in the coastal region is equally challenging due to the nonlinearity of the STR-vegetation interaction. In the present study, the kernel extreme learni...