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Feature Selection and Outliers Detection with Genetic Algorithms and Neural Networks
Agusti Solanas, Enrique Romero, Sergio Gómez, Josep M. Sopena, Rene Alquézar, Josep Domingo-Ferrer
41 - 48
Frontiers in Artificial Intelligence and Applications
Volume 131: Artificial Intelligence Research and Development
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.

$35.00 / €27.50 / £22.00
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