Evolutionary q-Gaussian radial basis function neural networks for multiclassification

Neural Networks

Volumn 24, Issue 7, 2011, Pages 779-784

  Fernández Navarro, Francisco ^a   Hervás Martínez, César ^a   Gutierrez P A ^a   Carbonero Ruz, M ^b  

^a UNIVERSITY OF CÓRDOBA   (Spain)

^b UNIVERSIDAD LOYOLA ANDALUCÍA   (Spain)

Author keywords

Evolutionary algorithm; Hybrid algorithm; Multiclassification; Q Gaussian radial basis function neural networks

Indexed keywords

CLASSIFICATION METHODS; DATA SETS; DESIGN METHOD; EXPERIMENTAL STUDIES; GAUSSIANS; HIDDEN LAYERS; HYBRID ALGORITHMS; MULTI-CLASSIFICATION; MULTINOMIAL LOGISTIC REGRESSION; MULTIQUADRATICS; PROBABILISTIC CLASSIFIERS; RADIAL BASIS FUNCTION NEURAL NETWORKS; RADIAL BASIS FUNCTIONS; SPARSE CLASSIFIERS; UCI REPOSITORY;

EVOLUTIONARY ALGORITHMS; GAUSSIAN DISTRIBUTION; IMAGE SEGMENTATION; NEURAL NETWORKS; REGRESSION ANALYSIS; SUPPORT VECTOR MACHINES;

RADIAL BASIS FUNCTION NETWORKS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CLASSIFICATION ALGORITHM; CLASSIFIER; CONTROLLED STUDY; EXPERIMENTAL STUDY; INTERMETHOD COMPARISON; LOGISTIC REGRESSION ANALYSIS; PRIORITY JOURNAL; Q GAUSSIAN RADIAL BASIS FUNCTION NEURAL NETWORK; RADIAL BASED FUNCTION; SUPPORT VECTOR MACHINE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; NEURAL NETWORKS (COMPUTER); NORMAL DISTRIBUTION;

EID: 79960893968     PISSN: 08936080     EISSN: 18792782     Source Type: Journal    
DOI: 10.1016/j.neunet.2011.03.014     Document Type: Article

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