Comparison of performance and results in optical recognition hand written numbers using radial basis functions and memetic differential system

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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Autores:
Montes Castañeda, Bryan
Bello Santos, Omar David
Gómez Piragauta, Oscar Manuel
Orjuela-Cañón, Alvaro David
Tipo de recurso:
Article of journal
Fecha de publicación:
2014
Institución:
Universidad Antonio Nariño
Repositorio:
Repositorio UAN
Idioma:
spa
OAI Identifier:
oai:repositorio.uan.edu.co:123456789/3944
Acceso en línea:
http://revistas.uan.edu.co/index.php/ingeuan/article/view/379
http://repositorio.uan.edu.co/handle/123456789/3944
Palabra clave:
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openAccess
License
Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
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oai_identifier_str oai:repositorio.uan.edu.co:123456789/3944
network_acronym_str UAntonioN2
network_name_str Repositorio UAN
repository_id_str
spelling Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)Acceso abiertohttps://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Montes Castañeda, BryanBello Santos, Omar DavidGómez Piragauta, Oscar ManuelOrjuela-Cañón, Alvaro David2021-06-16T13:53:10Z2021-06-16T13:53:10Z2014-09-08http://revistas.uan.edu.co/index.php/ingeuan/article/view/379http://repositorio.uan.edu.co/handle/123456789/3944The 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.El problema de reconocimiento óptico de números escritos a mano ha sido abordado mediante diferentes técnicas obteniendo buenos resultados. En el presente trabajo se proponen sistemas difusos con algoritmos genéticos más específicamente meméticos para realizar esta tarea. Los resultados obtenidos con este método son comparados con redes neuronalesde aprendizaje semi-supervisado, usando funciones de base radial(RBF). Al realizar la comparación, es posible observar que este tipo de redes neuronales ofrecen ventajas en cuanto a tasas de error y tiempo de obtención del sistema de reconocimiento frente a los métodos basados en sistemas difusos.application/pdfspaUniversidad Antonio Nariñohttp://revistas.uan.edu.co/index.php/ingeuan/article/view/379/3172346-14462145-0935INGE@UAN - TENDENCIAS EN LA INGENIERÍA; Vol. 4 Núm. 8 (2014)Comparison of performance and results in optical recognition hand written numbers using radial basis functions and memetic differential systemComparativa de rendimiento y resultado en el reconocimiento óptico de números escritos a mano usando funciones de base radial y sistema memético diferencialinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/articlehttp://purl.org/coar/version/c_970fb48d4fbd8a85123456789/3944oai:repositorio.uan.edu.co:123456789/39442024-10-09 22:36:27.538https://creativecommons.org/licenses/by-nc-sa/4.0/Acceso abiertometadata.onlyhttps://repositorio.uan.edu.coRepositorio Institucional UANalertas.repositorio@uan.edu.co
dc.title.en-US.fl_str_mv Comparison of performance and results in optical recognition hand written numbers using radial basis functions and memetic differential system
dc.title.es-ES.fl_str_mv Comparativa de rendimiento y resultado en el reconocimiento óptico de números escritos a mano usando funciones de base radial y sistema memético diferencial
title Comparison of performance and results in optical recognition hand written numbers using radial basis functions and memetic differential system
spellingShingle Comparison of performance and results in optical recognition hand written numbers using radial basis functions and memetic differential system
title_short Comparison of performance and results in optical recognition hand written numbers using radial basis functions and memetic differential system
title_full Comparison of performance and results in optical recognition hand written numbers using radial basis functions and memetic differential system
title_fullStr Comparison of performance and results in optical recognition hand written numbers using radial basis functions and memetic differential system
title_full_unstemmed Comparison of performance and results in optical recognition hand written numbers using radial basis functions and memetic differential system
title_sort Comparison of performance and results in optical recognition hand written numbers using radial basis functions and memetic differential system
dc.creator.fl_str_mv Montes Castañeda, Bryan
Bello Santos, Omar David
Gómez Piragauta, Oscar Manuel
Orjuela-Cañón, Alvaro David
dc.contributor.author.spa.fl_str_mv Montes Castañeda, Bryan
Bello Santos, Omar David
Gómez Piragauta, Oscar Manuel
Orjuela-Cañón, Alvaro David
description 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.
publishDate 2014
dc.date.issued.spa.fl_str_mv 2014-09-08
dc.date.accessioned.none.fl_str_mv 2021-06-16T13:53:10Z
dc.date.available.none.fl_str_mv 2021-06-16T13:53:10Z
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.version.spa.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/article
dc.type.coarversion.none.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
format http://purl.org/coar/resource_type/c_6501
status_str publishedVersion
dc.identifier.none.fl_str_mv http://revistas.uan.edu.co/index.php/ingeuan/article/view/379
dc.identifier.uri.none.fl_str_mv http://repositorio.uan.edu.co/handle/123456789/3944
url http://revistas.uan.edu.co/index.php/ingeuan/article/view/379
http://repositorio.uan.edu.co/handle/123456789/3944
dc.language.iso.spa.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv http://revistas.uan.edu.co/index.php/ingeuan/article/view/379/317
dc.rights.none.fl_str_mv Acceso abierto
dc.rights.license.spa.fl_str_mv Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.rights.uri.spa.fl_str_mv https://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.coar.spa.fl_str_mv http://purl.org/coar/access_right/c_abf2
rights_invalid_str_mv Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Acceso abierto
https://creativecommons.org/licenses/by-nc-sa/4.0/
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Universidad Antonio Nariño
dc.source.none.fl_str_mv 2346-1446
2145-0935
dc.source.es-ES.fl_str_mv INGE@UAN - TENDENCIAS EN LA INGENIERÍA; Vol. 4 Núm. 8 (2014)
institution Universidad Antonio Nariño
repository.name.fl_str_mv Repositorio Institucional UAN
repository.mail.fl_str_mv alertas.repositorio@uan.edu.co
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