Parallelization of self-organized clustering system

Rafiqul Islam, Yoshikazu Miyanaga, Koji Tochinai

Research output: Contribution to journalArticlepeer-review

Abstract

A self-organized clustering system is extensively used for neural networks for the analysis and classification of speech and image information data. The speed of this process is improved by applying a new parallel algorithm essential for a real system and the recognition rates achieved by this new system is almost same as that of a sequential system using the conventional clustering system. However, the use of a multiple number of processors reduces the total processing time by a fraction.

Original languageEnglish
Pages (from-to)921-936
Number of pages16
JournalNeural Network World
Volume6
Issue number6
Publication statusPublished - 1996
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Software
  • Neuroscience(all)
  • Hardware and Architecture
  • Artificial Intelligence

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