Erratum to River Suspended Sediment Prediction Using Various Multilayer Perceptron Neural Network Training Algorithms-A Case Study in Malaysia(Water Resour Manage, 10.1007/s11269-012-9992-5);River suspended sediment prediction using various multilayer perceptron neural network training algorithms-A case study in Malaysia

Water Resources Management

Volumn 26, Issue 7, 2012, Pages 1879-1897

  Mustafa, M R ^a   Rezaur, R B ^b   Saiedi, S ^a   Isa, M H ^a  

^a DEPARTMENT OF CHEMICAL ENGINEERING   (Malaysia)

^b GOLDER ASSOCIATES LTD   (Canada)

Author keywords

Discharge; Modeling; Multilayer perceptron neural network; Prediction; Suspended sediment; Training algorithms

Indexed keywords

DISCHARGE (FLUID MECHANICS); FORECASTING; MODELS; MULTILAYERS; NEURAL NETWORKS; RIVERS;

LEVENBERG-MARQUARDT; MULTI LAYER PERCEPTRON; MULTI-LAYER PERCEPTRON NEURAL NETWORKS; RIVER SUSPENDED SEDIMENTS; SCALED CONJUGATE GRADIENTS; STATISTICAL MEASURES; SUSPENDED-SEDIMENT DISCHARGES; TRAINING ALGORITHMS;

SUSPENDED SEDIMENTS;

ACCURACY ASSESSMENT; ALGORITHM; ARTIFICIAL NEURAL NETWORK; DISCHARGE; FLUVIAL DEPOSIT; GEOSTATISTICS; GRADIENT ANALYSIS; NUMERICAL MODEL; PERFORMANCE ASSESSMENT; PREDICTION; SUSPENDED SEDIMENT;

MALAYSIA; WEST MALAYSIA;

EID: 84860486004     PISSN: 09204741     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11269-012-0028-y     Document Type: Erratum

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