Reservoir inflow modeling using temporal neural networks with forgetting factor approach

Water Resources Management

Volumn 23, Issue 1, 2009, Pages 39-55

  Razavi, Saman ^a   Araghinejad, Shahab ^b  

^a AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

^b UNIVERSITY OF TEHRAN   (Iran)

Author keywords

ARMA; Forecast; Forgetting factor; Temporal neural networks

Indexed keywords

CALIBRATION; FORECASTING; METROPOLITAN AREA NETWORKS; RECURSIVE FUNCTIONS; STATISTICAL TESTS; VEGETATION;

ARMA; ARMA MODELS; AUTOREGRESSIVE MOVING AVERAGES; CONVENTIONAL METHODS; DISCOUNTING FACTORS; ERROR DATUMS; FORECAST ACCURACIES; FORGETTING FACTOR; LINE MODELS; RECURSIVE ALGORITHMS; RESERVOIR DAMS; RESERVOIR INFLOWS; TEMPORAL NEURAL NETWORKS; TRAINING PROCEDURES;

NEURAL NETWORKS;

ACCURACY ASSESSMENT; ALGORITHM; ARTIFICIAL NEURAL NETWORK; FLOW MODELING; FORECASTING METHOD; INFLOW; RESERVOIR; TEMPORAL VARIATION;

ASIA; EURASIA; IRAN; MIDDLE EAST;

EID: 58149181821     PISSN: 09204741     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11269-008-9263-7     Document Type: Article

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