River suspended sediment load prediction based on river discharge information: application of newly developed data mining models
Version 2 2024-06-13, 12:10
Version 1 2020-01-01, 00:00
journal contribution
posted on 2024-06-13, 12:10 authored by SQ Salih, A Sharafati, K Khosravi, H Faris, O Kisi, H Tao, M Ali, ZM YaseenRiver suspended sediment load prediction based on river discharge information: application of newly developed data mining models
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Abingdon, Eng.Open access
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EnglishPublication classification
C1 Refereed article in a scholarly journalJournal
Hydrological Sciences JournalVolume
65Pagination
624-637ISSN
0262-6667eISSN
2150-3435Issue
4Publisher
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Keywords
Science & TechnologyPhysical SciencesWater Resourcesdata mining modelssuspended sediment loadriver hydrologystochasticitywatershed managementSUPPORT VECTOR MACHINEFUZZY INFERENCE SYSTEMCOMPRESSIVE STRENGTHDIFFUSION-MODELNEURAL-NETWORKSTREETRANSPORTALGORITHMFLOWPERFORMANCE3709 Physical geography and environmental geoscience3707 Hydrology
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