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Autores:
Daniel Rivero, Vanessa Aguiar, Enrique Fernández-Blanco, Marcos Gestal
Título: Using genetic algorithms for automatic recurrent ANN development: an application to EEG signal classification
Revista: International Journal of Data Mining, Modelling and Management
ISSN: 1759-1163
Volumen: 5
Páginas: 182-191
Editorial: Inderscience Publishers
Fecha Publicación: Mayo 2013
doi: 10.1504/IJDMMM.2013.053695

Abstract:

ANNs are one of the most successful learning systems. For this reason, many techniques have been published that allow the obtaining of feed-forward networks. However, few works describe techniques for developing recurrent networks. This work uses a genetic algorithm for automatic recurrent ANN development. This system has been applied to solve a well-known problem: classification of EEG signals from epileptic patients. Results show the high performance of this system, and its ability to develop simple networks, with a low number of neurons and connections.

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