Author, as appears in the article.: DomingoFerrer, J
Department: Enginyeria Informàtica i Matemàtiques
URV's Author/s: Domingo Ferrer, Josep / Gómez Jiménez, Sergio / Solanas Gómez, Agustín
Keywords: Neural networks Genetic algorithms Feature selection
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
Thematic Areas: Medicina ii Interdisciplinar Información y documentación General o multidisciplinar Engenharias iv Engenharias iii Comunicació i informació Ciências agrárias i Artificial intelligence
ISSN: 15356698
Author's mail: agusti.solanas@urv.cat sergio.gomez@urv.cat josep.domingo@urv.cat
Author identifier: 0000-0002-4881-6215 0000-0003-1820-0062 0000-0001-7213-4962
Record's date: 2024-10-26
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Papper original source: Frontiers In Artificial Intelligence And Applications. 131 41-48
APA: DomingoFerrer, J (2005). Feature Selection and Outliers Detection with Genetic Algorithms and Neural Networks. Amsterdam: IOS Press
Entity: Universitat Rovira i Virgili
Journal publication year: 2005
Publication Type: Proceedings Paper
Repositori URV