Comparison of an artificial neural network and a conceptual rainfall–runoff model in the simulation of ephemeral streamflow

Hydrological Sciences Journal

Volumn 61, Issue 15, 2016, Pages 2763-2774

  Daliakopoulos, Ioannis N ^a   Tsanis, Ioannis K ^a,b  

^a TECHNICAL UNIVERSITY OF CRETE   (Greece)

^b MCMASTER UNIVERSITY   (Canada)

Author keywords

artificial neural networks; IDNN; Rainfall runoff; SAC SMA

Indexed keywords

CALIBRATION; CATCHMENTS; GENETIC ALGORITHMS; NEURAL NETWORKS; RAIN; RUNOFF; SOIL MOISTURE; STREAM FLOW;

DISTRIBUTED MODELS; HIDDEN LAYER NEURONS; HYDROLOGICAL PROCESS; IDNN; INPUT DELAY NEURAL NETWORKS; PARAMETER SENSITIVITIES; POTENTIAL EVAPOTRANSPIRATION; SAC-SMA;

COMPLEX NETWORKS;

ARTIFICIAL NEURAL NETWORK; COMPUTER SIMULATION; CONCEPTUAL FRAMEWORK; EPHEMERAL STREAM; GENETIC ALGORITHM; NUMERICAL MODEL; PARAMETERIZATION; RAINFALL-RUNOFF MODELING; STREAMFLOW;

AEGEAN ISLANDS; CRETE [GREECE]; GREECE;

EID: 84978933437     PISSN: 02626667     EISSN: 21503435     Source Type: Journal    
DOI: 10.1080/02626667.2016.1154151     Document Type: Article

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