Evolutionary Generalized Radial Basis Function neural networks for improving prediction accuracy in gene classification using feature selection

Applied Soft Computing Journal

Volumn 12, Issue 6, 2012, Pages 1787-1800

  Fernández Navarro, Francisco ^a   Hervás Martínez, César ^a   Ruiz, Roberto ^c   Riquelme, Jose C ^b  

^a UNIVERSITY OF CÓRDOBA   (Spain)

^b UNIVERSITY OF SEVILLE   (Spain)

^c UNIVERSIDAD PABLO DE OLAVIDE   (Spain)

Author keywords

Evolutionary algorithm; Feature selection; Gene classification; Generalized Gaussian Distribution; Generalized Radial Basis Function

Indexed keywords

BIOMEDICAL DOMAIN; FUNCTION APPROXIMATION; GENE CLASSIFICATION; GENERALIZED GAUSSIAN DISTRIBUTION; GENERALIZED GAUSSIAN DISTRIBUTIONS; GRADIENT-BASED LEARNING; HYBRID ALGORITHMS; HYBRID APPROACH; INPUT VARIABLES; MICROARRAY DATA; PATTERN RECOGNITION PROBLEMS; PREDICTION ACCURACY; RADIAL BASIS FUNCTION NEURAL NETWORKS; RADIAL BASIS FUNCTIONS; SHAPE PARAMETERS; SIX GENES;

BIOINFORMATICS; EVOLUTIONARY ALGORITHMS; FEATURE EXTRACTION; GAUSSIAN DISTRIBUTION; MICROARRAYS; PATTERN RECOGNITION; RADIAL BASIS FUNCTION NETWORKS; SET THEORY;

GENE EXPRESSION;

EID: 84859620273     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2012.01.008     Document Type: Article

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