Ant Colony Optimization Based Feature Selection Method for QEEG Data Classification
PSYCHIATRY INVESTIGATION, cilt.11, sa.3, ss.243-250, 2014 (SCI-Expanded, SSCI, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 11 Sayı: 3
- Basım Tarihi: 2014
- Doi Numarası: 10.4306/pi.2014.11.3.243
- Dergi Adı: PSYCHIATRY INVESTIGATION
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus
- Sayfa Sayıları: ss.243-250
- Anahtar Kelimeler: Neural networks, Feature selection, QEEG, Major depressive disorder, TRANSCRANIAL MAGNETIC STIMULATION, TREATMENT RESPONSE, FEATURE-EXTRACTION, MAJOR DEPRESSION, NEURAL-NETWORKS, EEG, SYSTEM, PREDICTOR, ALGORITHM, PERFUSION
- Marmara Üniversitesi Adresli: Hayır
Özet
Objective Many applications such as biomedical signals require selecting a subset of the input features in order to represent the whole set of features. A feature selection algorithm has recently been proposed as a new approach for feature subset selection.