Partitioning strategy for investigating the prediction capability of bed load transport under varied hydraulic conditions: Application of robust GWO-kernel-based ELM approach
Kiyoumars Roushangar, Saman Shahnazi, Hazi Mohammad Azamathulla
Topics & Concepts
Range (aeronautics)Kernel (algebra)Sediment transportBed loadEnvironmental scienceKrigingSupport vector machineSedimentComputer scienceGeologyMaterials scienceMathematicsArtificial intelligenceGeomorphologyMachine learningCombinatoricsComposite materialHydrology and Sediment Transport ProcessesHydrological Forecasting Using AIMachine Learning and ELM