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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| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
Elsevier B.V.
2021
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/94292/ http://dx.doi.org/10.1016/j.jhydrol.2021.126477 |
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