Assessment of a conceptual hydrological model and artificial neural networks for daily outflows forecasting

International Journal of Environmental Science and Technology

Volumn 10, Issue 6, 2013, Pages 1181-1192

  Rezaeianzadeh, M ^a   Stein, A ^b   Tabari, H ^c   Abghari, H ^d   Jalalkamali, N ^e   Hosseinipour, E Z ^f   Singh, V P ^g  

^a AUBURN UNIVERSITY   (United States)

^b UNIVERSITY OF TWENTE   (Netherlands)

^c ISLAMIC AZAD UNIVERSITY   (Iran)

^d URMIA UNIVERSITY   (Iran)

^e ISLAMIC AZAD UNIVERSITY   (Iran)

^f Advanced Planning Section   (United States)

^g Texas A M University   (United States)

Author keywords

Activation functions; Continuous rainfall runoff; HMS SMA model; Khosrow Shirin watershed; Multi layer perceptron

Indexed keywords

CHEMICAL ACTIVATION; FLOODS; FORECASTING; SOIL MOISTURE; WATERSHEDS;

ACTIVATION FUNCTIONS; HYDROLOGICAL MODELING; MULTI LAYER PERCEPTRON; RAINFALL RUNOFF; SCALED CONJUGATE GRADIENTS; SIGMOID ACTIVATION FUNCTION; SIGMOID TRANSFER FUNCTION; TRIAL-AND-ERROR PROCEDURES;

MULTILAYER NEURAL NETWORKS;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; ASSESSMENT METHOD; DATA SET; FLOOD; FORECASTING METHOD; HYDROLOGICAL MODELING; OPTIMIZATION; PERCEPTION; RAINFALL-RUNOFF MODELING;

IRAN;

EID: 84887502899     PISSN: 17351472     EISSN: 17352630     Source Type: Journal    
DOI: 10.1007/s13762-013-0209-0     Document Type: Article

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