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Feature Selection and Classification of Electroencephalographic Signals: An Artificial Neural Network and Genetic Algorithm Based Approach

Erguzel, Turker Tekin; Ozekes, Serhat; Tan, Oguz; Gultekin, Selahattin (Clinical EEG and Neuroscience, 2014)

Feature selection is an important step in many pattern recognition systems aiming to overcome the so-called curse of dimensionality. In this study, an optimized classification method was tested in 147 patients with major ...

A Hybrid artificial intelligence method to classify trichotillomania and obsessive compulsive disorder

Erguzel, Turker Tekin; Tan, Oguz; Tarhan, Nevzat; Ozekes, Serhat; Hizli Sayar, Gokben (2015-02)

Classification of psychiatric disorders is becoming one of the major focuses of research using artificial intelligence approach. The combination of feature selection and classification methods generates satisfactory ...