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Memorias de investigación
Communications at congresses:
Data Mining with Enhanced Neural networks
Year:2012
Research Areas
  • Artificial intelligence
Information
Abstract
In this paper we have presented a new method to extract knowledge from an existing data set, extracting symbolic rules from the weights of an Artificial Neural Network. The method has been applied with a neural network with special architecture Enhanced Neural Network (ENN). This architecture improves the results that have been obtained with multilayer perceptron (MLP). The relationship among the knowledge stored in the weights, the performance of the network and the new implemented algorithm to acquire rules from the weights is explained. The method itself gives a model to follow in the knowledge acquisition with ENN.
International
Si
Congress
INTERNATIONAL CONFERENCE ON COMPUTATIONAL AND APPLIED MATHEMATICAL METHODS IN SCIENCE AND ENGINERING CMMSE 2012.
960
Place
Murcia
Reviewers
Si
ISBN/ISSN
978-84-615-5392-1
Start Date
02/07/2012
End Date
05/07/2012
From page
1450
To page
1462
Proceedings of the 2012 International Conference on Computational and Mathematical Methods in Science and Engineering Murcia, Spain July 2-5, 2012
Participants
  • Autor: Ana Martinez Blanco (UPM)
  • Autor: Angel Luis Castellanos Peñuela (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Computación Natural
  • Departamento: Ciencias Básicas Aplicadas a la Ingeniería Forestal
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