Agusti Solanas, Enrique Romero, Sergio Gómez, Josep M. Sopena, Rene Alquézar, Josep Domingo-Ferrer
Artificial Intelligence Research and Development 131 (CCIA), 41
- Description: 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.