The application of dynamic K-means clustering algorithm in the center selection of RBF neural networks

3rd International Conference on Genetic and Evolutionary Computing, WGEC 2009

Volumn , Issue , 2009, Pages 488-491

  Liu, Hongyang ^a   He, Jia ^a  

^a CHENGDU UNIVERSITY OF INFORMATION TECHNOLOGY   (China)

Author keywords

Dynamic K means clustering algorithm; Function approximation; Neural networks; Radial basis function

Indexed keywords

CENTER MORE; CLUSTER CENTERS; FUNCTION APPROXIMATION; K-MEANS CLUSTERING ALGORITHM; KEY PROBLEMS; RADIAL BASIS FUNCTIONS; RBF NEURAL NETWORK; RBF NEURAL NETWORKS; SIMULATION RESULT;

APPROXIMATION ALGORITHMS; ATTITUDE CONTROL; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; WATER SUPPLY SYSTEMS;

CLUSTERING ALGORITHMS;

EID: 77950663983     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WGEC.2009.112     Document Type: Conference Paper

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