Comparativa de rendimiento y resultado en el reconocimiento óptico de números escritos a mano usando funciones de base radial y sistema memético diferencial

Comparativa de rendimiento y resultado en el reconocimiento óptico de números escritos a mano usando funciones de base radial y sistema memético diferencial

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The problem optical recognition of handwritten numbers has been approached by different methods, obtaining satisfactory results. In this paper, we propose fuzzy systems with memetic genetic algorithms. Results from this methodology are compared with artificial neuronal networks trained using semi-su...

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Bibliographic Details
Main Authors: Montes Castañeda, Bryan, Bello Santos, Omar David, Gómez Piragauta, Oscar Manuel, Orjuela-Cañón, Alvaro David
Format: Digital
Language:spa
Published: UNIVERSIDAD ANTONIO NARIÑO 2014
Online Access:https://revistas.uan.edu.co/index.php/ingeuan/article/view/379
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Summary:The problem optical recognition of handwritten numbers has been approached by different methods, obtaining satisfactory results. In this paper, we propose fuzzy systems with memetic genetic algorithms. Results from this methodology are compared with artificial neuronal networks trained using semi-supervised learning and radial base functions (RBF). It is possible to observe that this kind of neuronal networks offer advantages regarding error rates and time-to-results of the recognition system, compared with methods based in fuzzy systems.
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