An efficient self-organizing RBF neural network for water quality prediction

Neural Networks

Volumn 24, Issue 7, 2011, Pages 717-725

  Han, Hong Gui ^a   Chen, Qi li ^a   Qiao, Jun Fei ^a  

^a BEIJING UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Flexibility structure; Radial basis function (RBF); Self organizing; Water quality prediction

Indexed keywords

DYNAMIC PROCESS; FLEXIBILITY STRUCTURE; HIDDEN NEURONS; MUTUAL INFORMATIONS; NETWORK COMPLEXITY; NEURON ACTIVITY; NON-LINEAR DYNAMIC SYSTEMS; OTHER ALGORITHMS; PREDICTION ACCURACY; QUALITY PREDICTION; RADIAL BASIS FUNCTION (RBF); RADIAL BASIS FUNCTION NEURAL NETWORKS; RBF NEURAL NETWORK; SELF ORGANIZING; TRAINING TIME; WASTEWATER TREATMENT PROCESS; WATER QUALITY PREDICTION;

ALGORITHMS; COMPUTATIONAL EFFICIENCY; CONVERGENCE OF NUMERICAL METHODS; DYNAMICAL SYSTEMS; FLEXIBLE STRUCTURES; FORECASTING; NONLINEAR DYNAMICAL SYSTEMS; RADIAL BASIS FUNCTION NETWORKS; WASTEWATER; WASTEWATER TREATMENT; WATER QUALITY;

NEURAL NETWORKS;

ACCURACY; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; CELL STRUCTURE; DYNAMICS; MATHEMATICAL COMPUTING; NERVE CELL; NONLINEAR SYSTEM; ONLINE SYSTEM; PREDICTION; PRIORITY JOURNAL; QUALITY CONTROL; RADIAL BASIS FUNCTION; STRUCTURE ANALYSIS; WATER ANALYSIS; WATER QUALITY;

ALGORITHMS; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; WATER QUALITY;

EID: 79960891365     PISSN: 08936080     EISSN: 18792782     Source Type: Journal    
DOI: 10.1016/j.neunet.2011.04.006     Document Type: Article

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