Rivero, DanielAguiar-Pulido, VanessaFernández-Blanco, EnriqueGestal, M.2018-05-142018-05-142013Rivero D, Aguiar-Pulido V, Fernández-Blanco E, Gestal M. Using genetic algorithms for automatic recurrent ANN development: an application to EEG signal classification. Int J Data Mining Modelling Management. 2013;5(2):182-1911759-11631759-1171http://hdl.handle.net/2183/20701[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, fe w works describe techniques for developing recurrent networks. This work uses a genetic algorithm for automatic recurrent ANN devel opment. This system has been applied to solve a well-known problem: classi fication 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.engArtificial neural networksANNsGenetic algorithmsGAsSignal classificationEpilepsy detectionjournal articleopen access