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

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...

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Bibliographic Details
Main Authors: Tao, H., Al-Bedyry, N. K., Khedher, K. M., Shahid, S., Yaseen, Z. M.
Format: Article
Published: Elsevier B.V. 2021
Subjects:
Online Access:http://eprints.utm.my/id/eprint/94292/
http://dx.doi.org/10.1016/j.jhydrol.2021.126477
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