EEG İşareti Kullanılarak Bağımlılığa Yatkınlığın Makine Öğrenmesi Teknikleri ile Analizi

Author:

YARĞI Veysel,POSTALCIOĞLU Seda

Publisher

El-Cezeri: Journal of Science and Engineering

Subject

General Physics and Astronomy,General Engineering,General Chemical Engineering,General Chemistry,General Computer Science

Reference23 articles.

1. [1] Güler, İ., Gökçil, Z., & Gülbandilar, E., “Evaluating of traumatic brain injuries using artificial neural networks”, Expert Systems with Applications, 36(7), 2009, 10424-10427.

2. [2] Ersöz, A., & Özşen, S., Uyku EEG Sinyalinin Yapay Sinir Ağ Modeli İle Sınıflandırılması, Elektrik-Elektronik ve Bilgisayar Sempozyumu, 2011, 298-301, Elazığ.

3. [3] Sharanreddy, M., & Kulkarni, P., “Automated EEG signal analysis for identification of epilepsy seizures and brain tumour.”, Journal of Medical Engineering & Technology, 37(8), 2013, 511-519.

4. [4] Kalaivani M, Kalaivani V and Devi VA, “Analysis of EEG Signal for the Detection of Brain Abnormalities.”, International Journal of Computer applications (IJCA), 2, 2014, 1-6.

5. [5] Gajic D.,Djurovic Z., Gennaro S.D., Gustafsson F., ”Classification of eeg signals for detection of epileptic seizured based on wavelets and statistical pattern recognition.”, Biomedical Engineering: Applications, Basis and Communications, 2014, 26(02):145021.

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