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Feature Selection and Outliers Detection with Genetic Algorithms and Neural Networks
- Source :
- Frontiers In Artificial Intelligence And Applications, Frontiers In Artificial Intelligence And Applications. 131 41-48, Repositori Institucional de la Universitat Rovira i Virgili, Universitat Rovira i virgili (URV)
- Publication Year :
- 2005
-
Abstract
- This paper presents a new feature selection method and an outliers detection algorithm The presented method is based on using a genetic algorithm combined with a problem specific designed neural network The dimensional reduction and the outliers detection makes the resulting dataset more suitable for training neural networks A comparative analysis between different kind of proposed criteria to select the features is reported A number of experimental results have been carried out to demonstrate the usefulness of the presented technique
Details
- Database :
- OpenAIRE
- Journal :
- Frontiers In Artificial Intelligence And Applications, Frontiers In Artificial Intelligence And Applications. 131 41-48, Repositori Institucional de la Universitat Rovira i Virgili, Universitat Rovira i virgili (URV)
- Accession number :
- edsair.RECOLECTA.....d76515121eece0e74dc4146084ace8c8