Ensemble adaptive network-based fuzzy inference system with weighted arithmetical mean and application to diagnosis of optic nerve disease from visual-evoked potential signals


Akdemir B., Kara S., Polat K., Guven A. , Gunes S.

ARTIFICIAL INTELLIGENCE IN MEDICINE, cilt.43, ss.141-149, 2008 (SCI İndekslerine Giren Dergi) identifier identifier identifier

  • Cilt numarası: 43 Konu: 2
  • Basım Tarihi: 2008
  • Doi Numarası: 10.1016/j.artmed.2008.03.007
  • Dergi Adı: ARTIFICIAL INTELLIGENCE IN MEDICINE
  • Sayfa Sayısı: ss.141-149

Özet

Objective: This paper presents a new method based on combining principal component analysis (PCA) and adaptive network-based fuzzy inference system (ANFIS) to diagnose the optic nerve disease from visual-evoked potential (VEP) signals. The aim of this study is to improve the classification accuracy of ANFIS classifier on diagnosis of optic nerve disease from VEP signals. With this aim, a new classifier ensemble based on ANFIS and PCA is proposed.