Improving performance of radial basis function network based with particle swarm optimization

2009 IEEE Congress on Evolutionary Computation, CEC 2009

Volumn , Issue , 2009, Pages 3149-3156

  Qasem, Sultan Noman ^a   Shamsuddin, Siti Mariyam Hj ^a  

^a UNIVERSITI TEKNOLOGI MALAYSIA   (Malaysia)

Author keywords

Backpropogation; Component; Hybrid learning; K means; Least mean squares; Particle swarm optimization; Radial basis function network; Unsupervised and supervised learning

Indexed keywords

CLASSIFICATION RESULTS; DATA SETS; ERROR RATE; GRADIENT-BASED METHOD; HIDDEN LAYERS; HYBRID LEARNING; IMPROVING PERFORMANCE; K-MEAN CLUSTERING; K-MEANS; LEAST MEAN SQUARES; OPTIMIZATION PROCESS; OUTPUT LAYER; PARAMETERS ESTIMATION; RADIAL BASIS FUNCTIONS; RBF NETWORK; SECOND PHASE; STRUCTURE IDENTIFICATION; TWO PHASIS;

ATTITUDE CONTROL; CLUSTERING ALGORITHMS; EDUCATION; IONOSPHERE; PARAMETER ESTIMATION; RADIAL BASIS FUNCTION NETWORKS; SUPERVISED LEARNING;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 70449914545     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2009.4983342     Document Type: Conference Paper

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