A bee-inspired data clustering approach to design RBF neural network classifiers

Advances in Intelligent Systems and Computing

Volumn 290, Issue , 2014, Pages 545-552

  Cruz, Dávila Patrícia Ferreira ^a   da Silva, Leandro Augusto ^a   de Castro, Leandro Nunes ^a   Maia, Renato Dourado ^b  

^a MACKENZIE PRESBYTERIAN UNIVERSITY   (Brazil)

^b STATE UNIVERSITY OF MONTES CLAROS   (Brazil)

Author keywords

Bee inspired algorithms; Neural network; Optimal data clustering; RBF

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS;

BEE-INSPIRED ALGORITHMS; CLASSIFICATION DATASETS; FUNCTION APPROXIMATION PROBLEMS; OPTIMAL DATA; RADIAL BASIS FUNCTION NEURAL NETWORKS; RBF; RBF NEURAL NETWORK; SYNTHETIC DATASETS;

CLUSTERING ALGORITHMS;

EID: 84906050621     PISSN: 21945357     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-319-07593-8_63     Document Type: Conference Paper

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