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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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 |
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LEARNING ALGORITHM RECURSIVE PATTERN RECOGNITION MODEL |
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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 |