새로운 경계 묘사 뉴런을 가지는 신경회로망 분류기 설계

Design of Hew Neural network Classifier based on novel neurons with new boundary description

  • 고국원 (한국과학기술원 기계공학과) ;
  • 김종형 (삼성전자 생기센터 로봇팀) ;
  • 조형석 (한국과학기술원 기계공학과)
  • 발행 : 2000.10.01

초록

This paper introduces a new scheme for neural network classifier which can describe the shape of patterns in clustered group by using a self-organizing teeming algorithm. The prototype based neural network classifier can not describe the shape of group and it has low classification performance when the data groups are complex. To improve above-mentioned problem, new neural scheme is introduced. This proposed neural network algorithm can be regarded as the extension of self-organizing feature map which can describe The experimental results shows that the proposed algorithm can describe the shape of pattern successfully.

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