Evaluation the efficiency of Radial Basis Function Neural Network for Prediction of water quality parameters

Engineering Intelligent Systems

Volumn 17, Issue 4, 2009, Pages 221-231

  Ahmed, Ali Najah ^a   Elshafie, Ahmed ^a   Karim, Othman ^a   Jaffar, Othman ^a  

^a UNIVERSITI KEBANGSAAN MALAYSIA   (Malaysia)

Author keywords

Artificial Neural Network; Johor river basin; Radial Basis Function; Water quality Prediction

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ELECTRICAL CONDUCTIVITY; JOHOR RIVER BASIN; LINEAR REGRESSION MODELS; MEAN ABSOLUTE PREDICTION ERROR; OPTIMAL MODEL; QUALITY PREDICTION; RADIAL BASIS FUNCTION NEURAL NETWORKS; RADIAL BASIS FUNCTIONS; SUM SQUARE ERROR; TOTAL DISSOLVED SOLIDS; TRAINING PROCESS; WATER QUALITY PARAMETERS;

ATTITUDE CONTROL; ELECTRIC CONDUCTIVITY OF SOLIDS; FORECASTING; LINEAR REGRESSION; NEURAL NETWORKS; RIVERS; TURBIDITY; WATER POLLUTION; WATER QUALITY; WATERSHEDS;

RADIAL BASIS FUNCTION NETWORKS;

EID: 77956684693     PISSN: 14728915     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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