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Modeling brain wave data by using artificial neural networks

Research output: Contribution to Journal/MagazineJournal articlepeer-review

<mark>Journal publication date</mark>23/04/2010
<mark>Journal</mark>Hacettepe Journal of Mathematics and Statistics
Issue number1
Number of pages8
Pages (from-to)81-88
Publication StatusPublished
<mark>Original language</mark>English


Artificial neural networks can successfully model time series in real life. Because of their success, they have been widely used in various fields of application. In this paper, artificial neural networks are used to model brain wave data which has been recorded during the Wisconsin Card Sorting Test. The forecasting performances of different artificial neural network models, such as feed forward and recurrent neural networks, using both linear and nonlinear activation functions in the output neuron, are examined. As a result of the analysis, it is found that artificial neural networks model the data successfully and all the models employed produce very accurate forecasts.