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, Bayram; Kara, Sadik; Polat, Kemal; Guven, AYŞEGÜL; Gunes, Salih

doi:10.1016/j.artmed.2008.03.007

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, sa.2, ss.141-149, 2008 (SCI-Expanded, Scopus)

Yayın Türü: Makale / Tam Makale
Cilt numarası: 43 Sayı: 2
Basım Tarihi: 2008
Doi Numarası: 10.1016/j.artmed.2008.03.007
Dergi Adı: ARTIFICIAL INTELLIGENCE IN MEDICINE
Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
Sayfa Sayıları: ss.141-149
Anahtar Kelimeler: visual-evoked potential signals, optic nerve disease, adaptive network-based fuzzy inference system, principal component analysis, classifier ensemble, weighted arithmetical mean
Erciyes Üniversitesi Adresli: Evet

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.