Prediction of Water Level using Monthly Lagged Data in Lake Urmia, Iran

Water Resources Management

Volumn 30, Issue 13, 2016, Pages 4951-4967

  Vaheddoost, Babak ^a   Aksoy, Hafzullah ^a   Abghari, Hirad ^b  

^a ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

^b URMIA UNIVERSITY   (Iran)

Author keywords

Artificial neural network; Decision tree; Lake Urmia; Lake water level; Multiple regression

Indexed keywords

BACKPROPAGATION; DECISION TREES; FORECASTING; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; REGRESSION ANALYSIS; WATER LEVELS;

COEFFICIENT OF DETERMINATION; FEED-FORWARD BACK-PROPAGATION NEURAL NETWORKS; GENERALIZED REGRESSION NEURAL NETWORKS; LAKE URMIA; LAKE WATER LEVEL; MULTIPLE REGRESSIONS; NONPARAMETRIC APPROACHES; RADIAL BASIS FUNCTION NEURAL NETWORKS;

LAKES;

ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; DATA PROCESSING; HYDROLOGICAL CYCLE; LAKE WATER; LIMNOLOGY; MULTIPLE REGRESSION; PREDICTION; WATER LEVEL;

IRAN; LAKE URMIA;

EID: 84982262059     PISSN: 09204741     EISSN: 15731650     Source Type: Journal    
DOI: 10.1007/s11269-016-1463-y     Document Type: Article

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