Performance evaluation of artificial neural network approaches in forecasting reservoir inflow

Applied Mathematical Modelling

Volumn 36, Issue 6, 2012, Pages 2649-2657

  Taghi Sattari, M ^a   Yurekli, Kadri ^b   Pal, Mahesh ^c  

^a UNIVERSITY OF TABRIZ   (Iran)

^b GAZIOSMANPASA UNIVERSITY   (Turkey)

^c NATIONAL INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Inflow; Multilayer perceptron (MLP); Reservoir operation; Time Lagged Recurrent Network (TLRN)

Indexed keywords

APPROPRIATE MODELS; ARTIFICIAL NEURAL NETWORK APPROACH; BACK PROPAGATION NEURAL NETWORKS; FORECASTING RESERVOIR INFLOW; HIDDEN LAYERS; INFLOW; INPUT LAYERS; MEMORY STRUCTURE; MULTILAYER PERCEPTRON (MLP); OUTPUT LAYER; PERFORMANCE EVALUATION; RESERVOIR OPERATION; SHORT TERM MEMORY; TIME LAG; TIME LAGGED RECURRENT NETWORK; TIME VARYING;

RECURRENT NEURAL NETWORKS; STATISTICAL TESTS;

FORECASTING;

EID: 84857031351     PISSN: 0307904X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apm.2011.09.048     Document Type: Article

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