Development of Odor Sensor Array using Pattern Classification Technology

패턴분류 기술을 이용한 후각센서 어레이 개발

  • Park, Tae-Won (School of Mechanical Engineering, Yonsei University) ;
  • Lee, Jin-Ho (School of Mechanical Engineering, Yonsei University) ;
  • Cho, Young-Chung (School of Mechanical Engineering, Yonsei University) ;
  • Ahn, Chul (Sudo premium Engineering Co., Ltd.)
  • 박태원 (연세대학교 기계공학과) ;
  • 이진호 (연세대학교 기계공학과) ;
  • 조영충 (연세대학교 CT연구단) ;
  • 안철 ((주)수도프리미엄엔지니어링)
  • Published : 2006.06.21

Abstract

There are two main streams for pattern classification technology One is the method using PCA (Principal Component Analysis) and the other is the method using Neural network. Both of them have merits and demerits. In general, using PCA is so simple while using neural network can improve algorithm continually. Algorithm using neural network needs so many calculations rendering very slow response. In this work, an attempt is made to develop algorithms adopting both PCA and neural network merits for simpler, but faster and smarter.

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