A new intelligent diagnosis method to determine thyroid disorders Ti̇roi̇t bozuklugu tespi̇ti̇ i̇çi̇n yeni̇ bi̇r akilli tanilama yöntemi̇

ALKIM E., Gürbüz E., Kılıç E.

2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011, Antalya, Turkey, 20 - 22 April 2011, pp.38-41 identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/siu.2011.5929582
  • City: Antalya
  • Country: Turkey
  • Page Numbers: pp.38-41
  • Ondokuz Mayıs University Affiliated: Yes


In this study, the Learning Vector Quantization (LVQ) network model is enhanced with attaching conscience mechanism to be used in diagnosis of thyroid disorders, so that network's disease diagnostic success percentage is increased and the conscience coefficients which is used in the network is obtained in an adaptive manner. It is observed that the LVQ network model created with this new mechanism learns faster than the other networks, besides conscience mechanism increases percentage of network's performance. The results obtained are discussed by comparison with similar studies. © 2011 IEEE.