Complex-valued wavelet artificial neural network for Doppler signals classifying

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

ARTIFICIAL INTELLIGENCE IN MEDICINE, vol.40, no.2, pp.143-156, 2007 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 40 Issue: 2
  • Publication Date: 2007
  • Doi Number: 10.1016/j.artmed.2007.02.001
  • Journal Name: ARTIFICIAL INTELLIGENCE IN MEDICINE
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.143-156
  • Keywords: complex-valued wavelet artificial, neural network, wavelet neural network, atherosclerosis, carotid artery, Doppler signals, leave-one-out cross-validation
  • Erciyes University Affiliated: No

Abstract

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).