| dc.creator |
Merdan, Mustafa |
|
| dc.creator |
Caglar, M. Fatih |
|
| dc.creator |
TOPRAK, İNAYET BURCU |
|
| dc.date |
2007-01-01T01:00:00Z |
|
| dc.date.accessioned |
2021-12-03T11:28:39Z |
|
| dc.date.available |
2021-12-03T11:28:39Z |
|
| dc.identifier |
51ca9585-66df-4038-b291-256f953320d5 |
|
| dc.identifier |
10.1109/siu.2007.4298758 |
|
| dc.identifier |
https://avesis.sdu.edu.tr/publication/details/51ca9585-66df-4038-b291-256f953320d5/oai |
|
| dc.identifier.uri |
http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/91791 |
|
| dc.description |
In this study, it was aimed that making epilepsy diagnosis by automatically evaluation of EEG records. Diagnosis system consists two steps which are feature extraction/selection and classification. Discrete Wavelet Transform (DWT) and Artificial Neural Networks (ANN) were used to determine attribute vectors and classification, respectively. Classification accuracy was achieved as 99.62% by examining effects of varied wavelets on Multi Layer Perceptron (MLP) networks which have different architecture and were trained different learning algorithms. |
|
| dc.language |
tur |
|
| dc.rights |
info:eu-repo/semantics/closedAccess |
|
| dc.title |
Automatic Recognition of Epilepsy from EEG using Artificial Neural Network and Discrete Wavelet Transform |
|
| dc.type |
info:eu-repo/semantics/conferenceObject |
|