A New Distributed Parallel Algorithm for Pattern Classification using Neural Network Model

  • 김대수 (한국전자통신연구원 인공지능연구실) ;
  • 백순철 (한국전자통신연구원 인공지능연구실)
  • 발행 : 1991.07.01

초록

In this paper, a new distributed parallel algorithm for pattern classification based upon Self-Organizing Neural Network(SONN)[10-12] is developed. This system works without any information about the number of clusters or cluster centers. The SONN model showed good performance for finding classification information, cluster centers, the number of salient clusters and membership information. It took a considerable amount of time in the sequential version if the input data set size is very large. Therefore, design of parallel algorithm is desirous. A new distributed parallel algorithm is developed and experimental results are presented.

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