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DDFV
Bachelor thesis . 2014
License: CC BY NC ND
Data sources: DDFV
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Recolector de Ciencia Abierta, RECOLECTA
Bachelor thesis . 2014
License: CC BY NC ND
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Herramienta software de redes neuronales para el aprendizaje no supervisado.

Authors: Hoffman García, Oliver;

Herramienta software de redes neuronales para el aprendizaje no supervisado.

Abstract

Los mapas auto asociativos de Kohonen son un modelo de red neuronal de aprendizaje no supervisado que ha dado enormes resultados en el área de la inteligencia artificial y el análisis de datos, entre los que destacan el reconocimiento del habla, la clasificación de documentos, el reconocimiento de imágenes y la compresión de datos, entre otros. Actualmente no hay una gran variedad de herramientas de fácil acceso que permitan el uso de una red de Kohonen para el análisis de datos. En particular ninguna gratuita que ofrezca la posibilidad de subir archivos del usuario con sus propios datos para que estos sean analizados por la red y a la vez ofrezca una visualización amigable de los resultados para su interpretación. En este proyecto se ha pretendido hacer frente a esto y se ha desarrollado una aplicación que implementa una red de Kohonen para recibir datos introducidos por el usuario para su análisis y permite una posterior visualización de los resultados. También se ha buscado ofrecer un mecanismo de comparación de resultados, en el que se guardan los parámetros y las soluciones ofrecidas por la herramienta tras cada análisis para que resulte mucho más sencilla su comparación. Finalmente, se ha realizado de tal manera que posea una interfaz gráfica intuitiva para el usuario que le permita personalizar los parámetros de la red.

Country
Spain
Related Organizations
Keywords

Redes neuronales, Red de Kohonen, Inteligencia artificial

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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