Performance evaluation of artificial neural networks for runoff prediction

Journal of Hydrologic Engineering

Volumn 5, Issue 4, 2000, Pages 424-427

  Elshorbagy, A ^a   Simonovic, S P ^a   Panu, U S ^a  

^a UNIVERSITY OF MANITOBA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ERROR ANALYSIS; FLOOD DAMAGE; HYDROLOGY; MATHEMATICAL MODELS; NEURAL NETWORKS; STATISTICAL METHODS; WEATHER FORECASTING;

MEAN RELATIVE ERROR; MEAN SQUARED ERROR;

RUNOFF;

FLOOD FORECASTING; NEURAL NETWORK; PERFORMANCE ASSESSMENT; RUNOFF; STATISTICAL ANALYSIS;

ARTIFICIAL NEURAL NETWORK; FLOOD FORECASTING; HYDROLOGICAL MODELING; PERFORMANCE ASSESSMENT; RUNOFF;

CANADA;

EID: 0034306554     PISSN: 10840699     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)1084-0699(2000)5:4(424)     Document Type: Article

References (17)

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7. Multivariate modeling of water resources time series using artificial neural networks
8. Application of a neural network technique to rainfall-runoff modeling
9. Calibration of rain-fall-runoff models: Application of global optimization to the Sacramento soil moisture accounting model
10. Evaluation of maximum likelihood parameter estimation techniques for conceptual rainfall-runoff models: Influence of calibration data variability and length on model credibility
11. Short term streamflow forecasting using artificial neural networks