CMAC 신경회로망을 이용한 패턴인식 학습의 개선

The Improvement of Pattern Recognition using CMAC Neural Networks

  • 김종만 (전북대학교 제어계측공학과) ;
  • 김성중 (전북대학교 제어계측공학과) ;
  • 권오신 (군산대학교 제어계측공학과) ;
  • 김형석 (국방과학연구소)
  • 발행 : 1993.07.18

초록

CMAC (Cerebeller Model Articulation Controller) is kind of Neural Networks that imitate the human cerebellum. For storage and retrieval of learned data, the input of CMAC is used as a key to determine the memory location. he learned information is distributively stored in physical memory. The learning of CMAC is very fast and converged well, therefore, it effects the application of Pattern Recognition. Through the our experiment of Pattern Recognition, we will prove that CMAC is very suitable for On-line real time processing and incremental learning of Neural Networks.

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