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Titulo: Using genetic algorithms for automatic recurrent ANN development: an application to EEG signal classification
Tipo: revista internacional
Fecha: 5,2013
Revista: International Journal of Data Mining, Modelling and Management
Volumen: 5
Paginas: 182-191
ISSN: 1759-1163
Editorial: Inderscience Publishers
doi: 10.1504/IJDMMM.2013.053695


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.

    .: SABIA :.  Sistemas Adaptativos y Bioinspirados en Inteligencia Artificial