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6533b86cfe1ef96bd12c8399

RESEARCH PRODUCT

Emulation of 2D Hydrodynamic Flood Simulations at Catchment Scale Using ANN and SVR

Saba Mirza AlipourJoão Leal

subject

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 network

description

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

yearjournalcountryeditionlanguage
2021-10-13Water
10.3390/w13202858https://www.mdpi.com/2073-4441/13/20/2858
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