Feature Selection and Outliers Detection with Genetic Algorithms and Neural Networks
Agustí Solanas, Enrique E. Romero, Sergio Gómez, Josep María Gaya Sopena, René Alquézar, Josep Domingo‐Ferrer · Repositori institucional URV (Universitat Rovira i Virgili) · 2005
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