Design of digital DBNN for pattern recoginition

패턴인식을 위한 디지탈 DBNN의 설계

  • 송창영 (원광대학교 전자공학과) ;
  • 문성룡 (원광대학교 전자공학과) ;
  • 김환용 (원광대학교 전자공학과)
  • Published : 1996.11.01

Abstract

In this paper, using DBNN algorithm which is used in the binary pattern classification or speech signal processing the digital DBNN circuit is designed having the variable expansion depending the size of input data and pattern type. The processing elemen(PE) of the proposed network consists of the synapse and MAXNET circuits for the similarity measurement between reference and input pattern. Global MAXNET selects the global winner among the local winners which is selected in each PE. Through the several simultions, and thus each PE and global MAXNET search the reference pattern that was the most simlar to input pattern for the discord of the pattern.

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