Parallelization of self-organized clustering system

Rafiqul Islam; Yoshikazu Miyanaga; Koji Tochinai

Parallelization of self-organized clustering system

Rafiqul Islam, Yoshikazu Miyanaga, Koji Tochinai

Research output: Contribution to journal › Article › peer-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 language	English
Pages (from-to)	921-936
Number of pages	16
Journal	Neural Network World
Volume	6
Issue number	6
Publication status	Published - 1996
Externally published	Yes

All Science Journal Classification (ASJC) codes

Software
Neuroscience(all)
Hardware and Architecture
Artificial Intelligence

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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.",

author = "Rafiqul Islam and Yoshikazu Miyanaga and Koji Tochinai",

year = "1996",

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AB - 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.

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Parallelization of self-organized clustering system

Abstract

All Science Journal Classification (ASJC) codes

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