Real-time deployment of artificial neural network forecasting models: Understanding the range of applicability

Water Resources Research

Volumn 48, Issue 10, 2012, Pages

  Bowden, Gavin J ^a   Maier, Holger R ^a   Dandy, Graeme C ^a  

^a UNIVERSITY OF ADELAIDE   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK MODELS; DATA PATTERNS; DATA SETS; DETECTION SYSTEM; FORECASTING MODELS; INPUT PATTERNS; KENTUCKY; KERNEL DENSITY ESTIMATORS; LOCAL DENSITY; MULTI LAYER PERCEPTRON; NON-PARAMETRIC; OPERATIONAL MODEL; REAL-TIME FORECASTS; REAL-TIME OPERATION;

CALIBRATION; CONFORMAL MAPPING; NEURAL NETWORKS;

FORECASTING;

CALIBRATION; COMPUTER SIMULATION; DATA SET; FORECASTING METHOD; NUMERICAL METHOD; NUMERICAL MODEL;

KENTUCKY; KENTUCKY RIVER; UNITED STATES;

EID: 84868621819     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2012WR011984     Document Type: Article

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