Investigation of internal functioning of the radial-basis-function neural network river flow forecasting models

Journal of Hydrologic Engineering

Volumn 14, Issue 3, 2009, Pages 286-292

  Fernando, D Achela K ^a   Shamseldin, Asaad Y ^b  

^a UNITEC INSTITUTE OF TECHNOLOGY   (New Zealand)

^b UNIVERSITY OF AUCKLAND   (New Zealand)

Author keywords

Forecasting; Hydrographs; Neural networks; River flow; Runoff

Indexed keywords

CATCHMENTS; FORECASTING; GROUNDWATER FLOW; NETWORK LAYERS; RIVERS; RUNOFF; STREAM FLOW;

ARTIFICIAL NEURAL NETWORKS; BASE FLOWS; COMPLEX MODELING; EFFECTIVE TOOLS; FLOW DOMAINS; HIDDEN LAYER NODES; HIDDEN LAYERS; HYDROGRAPH; HYDROGRAPHS; INPUT DATUM; INTERFLOW; INTERNAL FUNCTIONING; MULTI-LAYER PERCEPTRON; OUTPUT LAYERS; RIVER FLOW; RIVER FLOW FORECASTING; SURFACE RUNOFFS;

NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; FORECASTING METHOD; HYDROGRAPH; MODELING; RIVER FLOW; RUNOFF;

EID: 60649110244     PISSN: 10840699     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)1084-0699(2009)14:3(286)     Document Type: Article

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