Learning Algorithm for the Recursive Pattern Recognition Model

In this work, we incorporate a learning algorithm to the recursive pattern recognition model, based on the systematic functioning of the human neocortex presented in previous works. This algorithm has two mechanisms: the first, called Aprendizaje_nuevo, is used to learn new patterns and creates a ne...

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1. Verfasser: Aguilar Castro, J. (author)
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Veröffentlicht: 2016
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author Aguilar Castro, J.
author_facet Aguilar Castro, J.
author_role author
collection Repositorio Universidad Técnica Particular de Loja
dc.creator.none.fl_str_mv Aguilar Castro, J.
dc.date.none.fl_str_mv 2016-08-08
2017-06-16T22:02:14Z
2017-06-16T22:02:14Z
dc.identifier.none.fl_str_mv 10.1080/08839514.2016.1213584
8839514
10.1080/08839514.2016.1213584
http://dspace.utpl.edu.ec/handle/123456789/18706
dc.language.none.fl_str_mv Inglés
dc.publisher.none.fl_str_mv Applied Artificial Intelligence
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:Repositorio Universidad Técnica Particular de Loja
instname:Universidad Técnica Particular de Loja
instacron:UTPL
dc.subject.none.fl_str_mv Engineering controlled terms: Character recognition
Pattern recognition Engineering main heading: Learning algorithms
dc.title.none.fl_str_mv Learning Algorithm for the Recursive Pattern Recognition Model
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description In this work, we incorporate a learning algorithm to the recursive pattern recognition model, based on the systematic functioning of the human neocortex presented in previous works. This algorithm has two mechanisms: the first, called Aprendizaje_nuevo, is used to learn new patterns and creates a new pattern recognition module in the model. The other, called Aprendizaje_por_refuerzo, is used to reinforce a pattern and adapts the module that represents the pattern to the changes in it. The algorithm is tested in various contexts (text and images) to analyze its capacities of learning and of recognition of the model. © 2016 Taylor & Francis.
eu_rights_str_mv openAccess
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id UTPL_024bd7a8c42acde9690e9bbd5a95c6e5
identifier_str_mv 10.1080/08839514.2016.1213584
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instacron_str UTPL
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instname_str Universidad Técnica Particular de Loja
language_invalid_str_mv Inglés
network_acronym_str UTPL
network_name_str Repositorio Universidad Técnica Particular de Loja
oai_identifier_str oai:dspace.utpl.edu.ec:123456789/18706
publishDate 2016
publisher.none.fl_str_mv Applied Artificial Intelligence
reponame_str Repositorio Universidad Técnica Particular de Loja
repository.mail.fl_str_mv .
repository.name.fl_str_mv Repositorio Universidad Técnica Particular de Loja - Universidad Técnica Particular de Loja
repository_id_str 1227
spelling Learning Algorithm for the Recursive Pattern Recognition ModelAguilar Castro, J.Engineering controlled terms: Character recognitionPattern recognition Engineering main heading: Learning algorithmsIn this work, we incorporate a learning algorithm to the recursive pattern recognition model, based on the systematic functioning of the human neocortex presented in previous works. This algorithm has two mechanisms: the first, called Aprendizaje_nuevo, is used to learn new patterns and creates a new pattern recognition module in the model. The other, called Aprendizaje_por_refuerzo, is used to reinforce a pattern and adapts the module that represents the pattern to the changes in it. The algorithm is tested in various contexts (text and images) to analyze its capacities of learning and of recognition of the model. © 2016 Taylor & Francis.Applied Artificial Intelligence2017-06-16T22:02:14Z2017-06-16T22:02:14Z2016-08-08info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article10.1080/08839514.2016.1213584883951410.1080/08839514.2016.1213584http://dspace.utpl.edu.ec/handle/123456789/18706Inglésinfo:eu-repo/semantics/openAccessreponame:Repositorio Universidad Técnica Particular de Lojainstname:Universidad Técnica Particular de Lojainstacron:UTPL2017-06-16T22:02:14Zoai:dspace.utpl.edu.ec:123456789/18706Institucionalhttps://dspace.utpl.edu.ec/Institución privadahttps://www.utpl.edu.ec/https://dspace.utpl.edu.ec/oai.Ecuador...opendoar:12272017-06-16T22:02:14Repositorio Universidad Técnica Particular de Loja - Universidad Técnica Particular de Lojafalse
spellingShingle Learning Algorithm for the Recursive Pattern Recognition Model
Aguilar Castro, J.
Engineering controlled terms: Character recognition
Pattern recognition Engineering main heading: Learning algorithms
status_str publishedVersion
title Learning Algorithm for the Recursive Pattern Recognition Model
title_full Learning Algorithm for the Recursive Pattern Recognition Model
title_fullStr Learning Algorithm for the Recursive Pattern Recognition Model
title_full_unstemmed Learning Algorithm for the Recursive Pattern Recognition Model
title_short Learning Algorithm for the Recursive Pattern Recognition Model
title_sort Learning Algorithm for the Recursive Pattern Recognition Model
topic Engineering controlled terms: Character recognition
Pattern recognition Engineering main heading: Learning algorithms
url http://dspace.utpl.edu.ec/handle/123456789/18706