6533b86cfe1ef96bd12c8399
RESEARCH PRODUCT
Emulation of 2D Hydrodynamic Flood Simulations at Catchment Scale Using ANN and SVR
Saba Mirza AlipourJoão Lealsubject
Computer scienceProcess (engineering)Geography Planning and DevelopmentAquatic ScienceMachine learningcomputer.software_genreBiochemistrysupport vector regressionTD201-500Uncertainty analysisWater Science and TechnologyEmulationArtificial neural networkFlood mythWater supply for domestic and industrial purposesbusiness.industryDimensionality reductionHydraulic engineeringSupport vector machineemulatorsVDP::Teknologi: 500Sample size determinationerror structureArtificial intelligencetraining set sizebusinessTC1-978computerartificial neural networkdescription
Two-dimensional (2D) hydrodynamic models are one of the most widely used tools for flood modeling practices and risk estimation. The 2D models provide accurate results
year | journal | country | edition | language |
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2021-10-13 | Water |