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CCIA
2005
Springer

Feature Selection and Outliers Detection with Genetic Algorithms and Neural Networks

9 years 3 months ago
Feature Selection and Outliers Detection with Genetic Algorithms and Neural Networks
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. Keywords. Feature Selection, Genetic Algorithms, Neural Networks,
Agusti Solanas, Enrique Romero, Sergio Góme
Added 13 Oct 2010
Updated 13 Oct 2010
Type Conference
Year 2005
Where CCIA
Authors Agusti Solanas, Enrique Romero, Sergio Gómez, Josep M. Sopena, René Alquézar, Josep Domingo-Ferrer
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