Complex-valued wavelet artificial neural network for Doppler signals classifying

Ozbay, Yuksel; Kara, Sadik; LATİFOĞLU, FATMA; Ceylan, Rahime; Ceylan, Murat

doi:10.1016/j.artmed.2007.02.001

Complex-valued wavelet artificial neural network for Doppler signals classifying

Ozbay Y., Kara S., LATİFOĞLU F., Ceylan R., Ceylan M.

ARTIFICIAL INTELLIGENCE IN MEDICINE, cilt.40, sa.2, ss.143-156, 2007 (SCI-Expanded, Scopus)

Yayın Türü: Makale / Tam Makale
Cilt numarası: 40 Sayı: 2
Basım Tarihi: 2007
Doi Numarası: 10.1016/j.artmed.2007.02.001
Dergi Adı: ARTIFICIAL INTELLIGENCE IN MEDICINE
Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
Sayfa Sayıları: ss.143-156
Anahtar Kelimeler: complex-valued wavelet artificial, neural network, wavelet neural network, atherosclerosis, carotid artery, Doppler signals, leave-one-out cross-validation
Erciyes Üniversitesi Adresli: Hayır

Özet

Objective: In this paper, the new complex-valued wavelet artificial neural network (CVWANN) was proposed for classifying Doppler signals recorded from patients and healthy volunteers. CVWANN was implemented on four different structures (CVWANN-1, -2, -3 and -4).