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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Autor Principal: Aguilar, Jos? L.
Formato: Artículos
Lenguaje:eng
Publicado: Reino Unido 2017
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Acceso en línea:http://repositorio.educacionsuperior.gob.ec/handle/28000/4661
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spelling oai:localhost:28000-46612017-10-17T15:27:44Z Learning Algorithm for the Recursive Pattern Recognition Model Aguilar, Jos? L. LEARNING ALGORITHM 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 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. 2017-10-17T15:27:07Z 2017-10-17T15:27:07Z 2017 article Puerto, Eduard & Aguilar, Jos?. (2017). Learning Algorithm for the Recursive Pattern Recognition Model. Applied Artificial Intelligence. Vol. 30. Issue 7. Reino Unido. pp. 662-678 8839514 http://repositorio.educacionsuperior.gob.ec/handle/28000/4661 eng DOI;10.1080/08839514.2016.1213584 closedAccess http://creativecommons.org/licenses/by-nc-sa/3.0/ec/ pp. 662-678 Reino Unido
institution SENESCYT
collection Repositorio SENESCYT
biblioteca Biblioteca Senescyt
language eng
format Artículos
topic LEARNING ALGORITHM
RECURSIVE PATTERN
RECOGNITION MODEL
spellingShingle LEARNING ALGORITHM
RECURSIVE PATTERN
RECOGNITION MODEL
Aguilar, Jos? L.
Learning Algorithm for the Recursive Pattern Recognition Model
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.
author Aguilar, Jos? L.
author_facet Aguilar, Jos? L.
author_sort Aguilar, Jos? L.
title Learning Algorithm for the Recursive Pattern Recognition Model
title_short 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_sort learning algorithm for the recursive pattern recognition model
publisher Reino Unido
publishDate 2017
url http://repositorio.educacionsuperior.gob.ec/handle/28000/4661
_version_ 1634995271646576640
score 11,871979