Journal of the Korean Institute of Telematics and Electronics B (전자공학회논문지B)

The Institute of Electronics and Information Engineers (대한전자공학회)
권호 표지

Optical System Implementation for Pattern Recognition and Associative Memory

형태인식과 연상기억을 위한 광학적 시스템 구현

  • 김성용 (대경전문대학교 전자계산과) ;
  • 이승희 (경북대학교 전자공학과) ;
  • 김철수 (경북대학교 전자공학과) ;
  • 김정우 (경북대학교 전자공학과) ;
  • 배장근 (경북대학교 전자공학과) ;
  • 김수중 (경북대학교 전자공학과)
  • Published : 1993.10.01
Download PDF
⟨ Previous Next ⟩

Abstract

IPA(interpattern association) model is a method of feature extraction using a neural network. Even in the case that the reference patterns are simuklar to one another, this model can recover the reference patterns effectively. However, when the pattern whose feature pixels are lost is used as input, this model can not guarantee perfect recovery of the reference pattern. It is proposed a improved interpattern association(IPA) model for the feature extraction using neural network. The improved IPA model that combines the first interconnection weight matrix of the IPA model with the second additional weight matrix is proposed here to overcome the recovery problem of the original IPA model. The results of computer simulation and optical experiment are advanced.

Keywords