Improved Water Level Forecasting Performance by Using Optimal Steepness Coefficients in an Artificial Neural Network

Water Resources Management

Volumn 25, Issue 10, 2011, Pages 2525-2541

  Sulaiman, Muhammad ^a   El Shafie, Ahmed ^b   Karim, Othman ^b   Basri, Hassan ^b  

^a UNIVERSITY MALAYSIA PAHANG   (Malaysia)

^b UNIVERSITI KEBANGSAAN MALAYSIA   (Malaysia)

Author keywords

Artificial neural networks; Sigmoid function; Steepness coefficient; Water level forecasting

Indexed keywords

ARTIFICIAL NEURAL NETWORK; COMPUTATIONAL APPROACH; COMPUTING MODEL; DATA SETS; DATA VALIDATION; EFFICIENCY COEFFICIENT; FLOOD PREDICTION; FORECASTING ACCURACY; MULTI-LAYER PERCEPTRON NEURAL NETWORKS; RIVER FLOW; ROOT MEAN SQUARE ERRORS; SIGMOID FUNCTION; STATISTICAL INDICES; STEEPNESS COEFFICIENT; WATER LEVEL FORECASTING; WATER RESOURCES MANAGEMENT; WEIGHT INITIALIZATION;

FORECASTING; NETWORK LAYERS; OPTIMIZATION; WATER LEVELS; WATER RESOURCES;

NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; COMPARATIVE STUDY; ERROR ANALYSIS; FLOOD FORECASTING; GEOSTATISTICS; OPTIMIZATION; PERFORMANCE ASSESSMENT; RIVER FLOW; WATER LEVEL;

EID: 79960702239     PISSN: 09204741     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11269-011-9824-z     Document Type: Article

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