Modeling brain wave data by using artificial neural networks

Aladag, Cagdas Hakan and Egrioglu, Erol and Kadilar, Cem (2010) Modeling brain wave data by using artificial neural networks. Hacettepe Journal of Mathematics and Statistics, 39 (1). pp. 81-88. ISSN 1303-5010

Full text not available from this repository.

Abstract

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.

Item Type: Journal Article
Journal or Publication Title: Hacettepe Journal of Mathematics and Statistics
Uncontrolled Keywords: /dk/atira/pure/subjectarea/asjc/2600/2608
Subjects:
Departments: Lancaster University Management School > Management Science
Faculty of Science and Technology > Mathematics and Statistics
ID Code: 139562
Deposited By: ep_importer_pure
Deposited On: 13 Dec 2019 16:10
Refereed?: Yes
Published?: Published
Last Modified: 01 Jan 2020 12:22
URI: https://eprints.lancs.ac.uk/id/eprint/139562

Actions (login required)

View Item View Item