Classification of event-related potentials using multivariate autoregressive modeling combined with simulated annealing

Vasios, C; Matsopoulos, G; Nikita, K; Uzunoglu, N

dc.contributor.author	Vasios, C	en
dc.contributor.author	Matsopoulos, G	en
dc.contributor.author	Nikita, K	en
dc.contributor.author	Uzunoglu, N	en
dc.date.accessioned	2014-03-01T01:52:30Z
dc.date.available	2014-03-01T01:52:30Z
dc.date.issued	2003	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/26653
dc.subject	Autoregressive Model	en
dc.subject	Back Propagation	en
dc.subject	Back Propagation Algorithm	en
dc.subject	Event Related Potential	en
dc.subject	event-related potential erp	en
dc.subject	Feature Extraction	en
dc.subject	Simulated Annealing	en
dc.subject	Control Subjects	en
dc.subject	Decision Support System	en
dc.subject	Neural Network	en
dc.title	Classification of event-related potentials using multivariate autoregressive modeling combined with simulated annealing	en
heal.type	journalArticle	en
heal.identifier.primary	10.2298/JAC0301007V	en
heal.identifier.secondary	http://dx.doi.org/10.2298/JAC0301007V	en
heal.publicationDate	2003	en
heal.abstract	In the present work, a new method for the classification of Event Related Potentials (ERPs) is proposed. The proposed method consists of two modules: the feature extraction module and the classification module. The feature extraction module comprises the implementation of the Multivariate Autoregressive model in conjunction with the Simulated Annealing technique, for the selection of optimum features from ERPs. The	en
heal.journalName	Journal of Automatic Control	en
dc.identifier.doi	10.2298/JAC0301007V	en