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) identifier identifier identifier

  • 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
  • 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).