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Aprendizaje con redes neuronales artificiales

Authors: Gómez Quesada, Francisco Javier; Fernández Graciani, Miguel Angel; López Bonal, María Teresa; Alonso Díaz-Mata, María;

Aprendizaje con redes neuronales artificiales

Abstract

La gran eficacia de la computación biológica, dado que el cerebro es excepcional en lo referente a capacidad de resolución de problemas aleatorios y en el procesamiento de información incompleta, estocástica o incluso contradictoria, induce a pensar en la posibilidad de lograr capacidades similares en dispositivos artificiales basados en los mismos principios de diseño que los sistemas neuronales. La idea de poder construir algún día una máquina que imite el cerebro humano es el gran sueño. Sin embargo, tanto limitaciones teóricas como de hardware han dado relativamente pocos progresos en la materia. Por ello, las redes neuronales se presentan como un sistema ideal para resolver computacionalmente este tipo de problemas.

Resumen basado en el de la publicación

ESP

Keywords

inteligencia artificial, aprendizaje, informática, neurología

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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
Average
Average
Green
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