메뉴 건너뛰기




Volumn 43, Issue 2, 2008, Pages 141-149

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

Author keywords

Adaptive network based fuzzy inference system; Classifier ensemble; Optic nerve disease; Principal component analysis; Visual evoked potential signals; Weighted arithmetical mean

Indexed keywords

ADAPTIVE NETWORK-BASED FUZZY INFERENCE SYSTEM; CLASSIFIER ENSEMBLE; OPTIC NERVE DISEASE; VISUAL-EVOKED POTENTIAL SIGNALS; WEIGHTED ARITHMETICAL MEAN;

EID: 44349189755     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.artmed.2008.03.007     Document Type: Article
Times cited : (22)

References (18)
  • 1
    • 33748147286 scopus 로고    scopus 로고
    • Breast cancer and liver disorders classification using artificial immune recognition system (AIRS) with performance evaluation by fuzzy resource allocation mechanism
    • Polat K., Şahan S., Kodaz H., and Güneş S. Breast cancer and liver disorders classification using artificial immune recognition system (AIRS) with performance evaluation by fuzzy resource allocation mechanism. Expert Systems with Applications 32 1 (2007) 172-183
    • (2007) Expert Systems with Applications , vol.32 , Issue.1 , pp. 172-183
    • Polat, K.1    Şahan, S.2    Kodaz, H.3    Güneş, S.4
  • 5
    • 3042850733 scopus 로고    scopus 로고
    • Automatic discrimination of abnormal subjects using the visual evoked potential spectral components
    • Sivakumar R., and Ravindran G. Automatic discrimination of abnormal subjects using the visual evoked potential spectral components. Journal of Biomedicine and Biotechnology 1 (2004) 5-9
    • (2004) Journal of Biomedicine and Biotechnology , vol.1 , pp. 5-9
    • Sivakumar, R.1    Ravindran, G.2
  • 8
    • 33746809067 scopus 로고    scopus 로고
    • Diagnosis of heart disease using artificial immune recognition system and fuzzy weighted pre-processing
    • Polat K., Tosun S., and Güneş S. Diagnosis of heart disease using artificial immune recognition system and fuzzy weighted pre-processing. Pattern Recognition 39 11 (2006) 2186-2193
    • (2006) Pattern Recognition , vol.39 , Issue.11 , pp. 2186-2193
    • Polat, K.1    Tosun, S.2    Güneş, S.3
  • 9
    • 0042198967 scopus 로고    scopus 로고
    • Feature extraction and dimensionality reduction algorithms and their applications in vowel recognition
    • Wang X., and Paliwal K.K. Feature extraction and dimensionality reduction algorithms and their applications in vowel recognition. Pattern Recognition, The Journal of The Pattern Recognition Society 36 (2003) 2429-2439
    • (2003) Pattern Recognition, The Journal of The Pattern Recognition Society , vol.36 , pp. 2429-2439
    • Wang, X.1    Paliwal, K.K.2
  • 10
    • 44349129827 scopus 로고    scopus 로고
    • Lindsay I Smith, A tutorial on Principal Component Analysis, (http://www.cs.otago.ac.nz/cosc453/student_tutorials/principal_components.pdf) (last accessed, 10 March, 2008).
    • Lindsay I Smith, A tutorial on Principal Component Analysis, (http://www.cs.otago.ac.nz/cosc453/student_tutorials/principal_components.pdf) (last accessed, 10 March, 2008).
  • 12
    • 0026925677 scopus 로고
    • Self-learning fuzzy controllers based on temporal backpropagation
    • Jang J.-S.R. Self-learning fuzzy controllers based on temporal backpropagation. IEEE Transactions on Neural Networks 3 5 (1992) 714-723
    • (1992) IEEE Transactions on Neural Networks , vol.3 , Issue.5 , pp. 714-723
    • Jang, J.-S.R.1
  • 13
    • 26944458497 scopus 로고    scopus 로고
    • Adaptive neuro-fuzzy inference system for classification of EEG signals using wavelet coefficients
    • Güler I., and Übeyli E.D. Adaptive neuro-fuzzy inference system for classification of EEG signals using wavelet coefficients. Journal of Neuroscience Methods 148 2 (2005) 13-121
    • (2005) Journal of Neuroscience Methods , vol.148 , Issue.2 , pp. 13-121
    • Güler, I.1    Übeyli, E.D.2
  • 14
    • 33744956502 scopus 로고    scopus 로고
    • Recognition of early phase of atherosclerosis using principles component analysis and artificial neural networks from carotid artery Doppler signals
    • Dirgenali F., and Kara S. Recognition of early phase of atherosclerosis using principles component analysis and artificial neural networks from carotid artery Doppler signals. Expert Systems with Applications 31 3 (2006) 643-651
    • (2006) Expert Systems with Applications , vol.31 , Issue.3 , pp. 643-651
    • Dirgenali, F.1    Kara, S.2
  • 15
    • 0038359450 scopus 로고    scopus 로고
    • Detection of ophthalmic artery stenosis by least-mean squares backpropagation neural network
    • Güler I., and Ubeyli E.D. Detection of ophthalmic artery stenosis by least-mean squares backpropagation neural network. Computers in Biology and Medicine 33 (2003) 333-343
    • (2003) Computers in Biology and Medicine , vol.33 , pp. 333-343
    • Güler, I.1    Ubeyli, E.D.2
  • 16
    • 37049021134 scopus 로고    scopus 로고
    • The effect of generalized discriminate analysis (GDA) to the classification of optic nerve disease from VEP signals
    • Güven A., Polat K., Kara S., and Güneş S. The effect of generalized discriminate analysis (GDA) to the classification of optic nerve disease from VEP signals. Computers in Biology and Medicine 38 1 (2008) 62-68
    • (2008) Computers in Biology and Medicine , vol.38 , Issue.1 , pp. 62-68
    • Güven, A.1    Polat, K.2    Kara, S.3    Güneş, S.4
  • 17
    • 32644483338 scopus 로고    scopus 로고
    • Utilization of artificial neural networks in the diagnosis of optic nerve diseases
    • Kara S., Güven A., and Öner A.O. Utilization of artificial neural networks in the diagnosis of optic nerve diseases. Computers in Biology and Medicine 36 4 (2006) 428-437
    • (2006) Computers in Biology and Medicine , vol.36 , Issue.4 , pp. 428-437
    • Kara, S.1    Güven, A.2    Öner, A.O.3
  • 18
    • 34047144941 scopus 로고    scopus 로고
    • Classification of macular and optic nerve disease by principal component analysis
    • Kara S., Güven A., and İçer S. Classification of macular and optic nerve disease by principal component analysis. Computers in Biology and Medicine 37 6 (2007) 836-841
    • (2007) Computers in Biology and Medicine , vol.37 , Issue.6 , pp. 836-841
    • Kara, S.1    Güven, A.2    Içer, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.