Observatorio de I+D+i UPM

Memorias de investigación
Ponencias en congresos:
CLASSIFICATION OF DATA TO EXTRACT KNOWLEDGE FROM NEURAL NETWORKS
Año:2009
Áreas de investigación
  • Inteligencia artificial
Datos
Descripción
Abstract: A major drawback of artificial neural networks is their black-box character. Therefore, the rule extraction algorithm is becoming more and more important in explaining the extracted rules from the neural networks. In this paper, we use a method that can be used for symbolic knowledge extraction from neural networks, once they have been trained with desired function. The basis of this method is the weights of the neural network trained. This method allows knowledge extraction from neural networks with continuous inputs and output as well as rule extraction. An example of the application is showed. This example is based on the extraction of average load demand of a power plant.
Internacional
Si
Nombre congreso
"Information Research and Applications" (i.TECH 2009)
Tipo de participación
960
Lugar del congreso
Varna Bulgaria
Revisores
Si
ISBN o ISSN
1313-0455
DOI
Fecha inicio congreso
24/06/2009
Fecha fin congreso
02/07/2009
Desde la página
20
Hasta la página
27
Título de las actas
International Book Series "INFORMATION SCIENCE & COMPUTING", Number 8 Supplement to the International Journal "INFORMATION TECHNOLOGIES & KNOWLEDGE" Volume 3, 2009
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Angel Luis Castellanos Peñuela (UPM)
  • Autor: Ana Martinez Blanco (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Departamento: Ciencias Básicas Aplicadas a la Ingeniería Forestal
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