Multiple Attractor CA Based Pattern Classifier

다중 끌개를 갖는 셀룰라 오토마타를 이용한 패턴 분류기 생성

  • 황윤희 (부경대학교 응용수학과) ;
  • 조성진 (부경대학교 응용수학과) ;
  • 최언숙 (동명대학교 미디어공학과)
  • Received : 2010.03.09
  • Accepted : 2010.06.14
  • Published : 2010.06.30

Abstract

Classifying multi-class pattern plays an important role in grouping of records in database systems, detection of faults in the VLSI circuits and so on. In this paper, we propose an algorithm for the construction of multi-class pattern classifier with minimum memory capacity using MACA(Multiple Attractor Cellular Automata) and the subspace concept for given multi-class patterns.

다중 클래스로 이루어진 패턴을 분류하는 것은 데이터 베이스 시스템에서 기록을 그룹화하거나 VLSI 회로에서 어디에 결함이 있는지를 찾는 것 등에서 중요한 역할을 한다. 본 논문에서는 주어진 다중 클래스 패턴을 MACA(Multiple Attractor Cellular Automata)와 부분공간의 개념을 이용하여 가능한 최소 메모리량을 필요로 하는 다중 클래스 패턴 분류기를 구성하는 알고리즘을 제안한다.

Keywords

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