Servicios Personalizados
Revista
Articulo
Indicadores
Citado por SciELO
Accesos
Links relacionados
Citado por Google
Similares en SciELO
Similares en Google
Compartir
Ingeniería e Investigación
versión impresa ISSN 0120-5609
Resumen
GAMARRA A, M. R y QUINTERO M, C. G. Using genetic algorithm feature selection in neural classification systems for image pattern recognition. Ing. Investig. [online]. 2013, vol.33, n.1, pp.52-58. ISSN 0120-5609.
Pattern recognition performance depends on variations during extraction, selection and classification stages. This paper presents an approach to feature selection by using genetic algorithms with regard to digital image recognition and quality control. Error rate and kappa coefficient were used for evaluating the genetic algorithm approach Neural networks were used for classification, involving the features selected by the genetic algorithms. The neural network approach was compared to a K-nearest neighbour classifier. The proposed approach performed better than the other methods.
Palabras clave : Feature vector; genetic algorithm; neural network; pattern recognition.