Author, as appears in the article.: Solanas, Agusti; Romero, Enrique; Gomez, Sergio; Sopena, Josep M.; Alquezar, Rene; Domingo-Ferrer, Josep;

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: josep.domingo@urv.cat sergio.gomez@urv.cat agusti.solanas@urv.cat

Author identifier: 0000-0001-7213-4962 0000-0003-1820-0062 0000-0002-4881-6215

Record's date: 2023-02-18

Licence document URL: http://repositori.urv.cat/ca/proteccio-de-dades/

Papper original source: Frontiers In Artificial Intelligence And Applications. 131 41-48

APA: Solanas, Agusti; Romero, Enrique; Gomez, Sergio; Sopena, Josep M.; Alquezar, Rene; Domingo-Ferrer, Josep; (2005). Feature Selection and Outliers Detection with Genetic Algorithms and Neural Networks.

Entity: Universitat Rovira i Virgili

Journal publication year: 2005

Publication Type: Proceedings Paper