Neural network river forecasting through baseflow separation and binary-coded swarm optimization

Journal of Hydrology

Volumn 529, Issue , 2015, Pages 1788-1797

  Taormina, Riccardo ^a   Chau, Kwok Wing ^a   Sivakumar, Bellie ^b,c  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^b UNIVERSITY OF NEW SOUTH WALES   (Australia)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Baseflow separation; Extreme Learning Machine; Modular neural network; Multi objective optimization; Particle swarm optimization; Rainfall runoff

Indexed keywords

BINS; DIGITAL FILTERS; FORECASTING; GAGING; KNOWLEDGE ACQUISITION; MULTIOBJECTIVE OPTIMIZATION; NEURAL NETWORKS; PARTICLE SWARM OPTIMIZATION (PSO); RIVERS; STREAM FLOW;

BASEFLOW SEPARATIONS; EXTREME LEARNING MACHINE; GEOLOGICAL CHARACTERISTICS; GLOBAL SEARCH TECHNIQUES; MODULAR ARTIFICIAL NEURAL NETWORKS; MODULAR NEURAL NETWORKS; RAINFALL RUNOFF; STREAMFLOW MODELING;

LEARNING SYSTEMS;

ARTIFICIAL NEURAL NETWORK; BASEFLOW; DESIGN; EXPERIMENTAL STUDY; FILTER; FORECASTING METHOD; HYDROGRAPH; MACHINE LEARNING; OPTIMIZATION; PARAMETERIZATION; RAINFALL-RUNOFF MODELING; RIVER BASIN; RIVER SYSTEM;

UNITED STATES;

EID: 84945129724     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2015.08.008     Document Type: Article

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