River water level prediction in coastal catchment using hybridized relevance vector machine model with improved grasshopper optimization

• Main Authors: Tao, H., Al-Bedyry, N. K., Khedher, K. M., Shahid, S., Yaseen, Z. M.
• Format: Article
• Published: Elsevier B.V. 2021
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.utm.my/id/eprint/94292/; http://dx.doi.org/10.1016/j.jhydrol.2021.126477

Modelling river water level (WL) of a coastal catchment is much complex due to the tidal influences on river WL. A hybrid machine learning model based on relevance vector machine (RVM) and improved grasshopper optimization (IGOA) is proposed in this study for modelling hourly WL in a catchment locat...