Presentation 1998/7/31
A Small Size Realization of a VLSI Self-Organizing Network Based on the Error Analysis
Junya Ohkubo, Yoshikazu Miyanaga, Koji Tochinai,
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Abstract(in English) In this report, a VLSI design of a Self-Organizing system for data clustering which is a neural network vector classifier is described. The dimension of input vectors m and the number of nodes of the system n are programmable so that the system has high generality. Although the circuit size of this kind of system tends to become larger, it is considerably reduced without sacrificing processing speed by two methods : low bit realization using an error analysis and adoption of a pipeline processing. According to the result of design using a CPLD, the scale of the system on 1-chip CPLD is m×n≤512.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Self-Organizing Clustering / Error Analysis / Pipeline Processing
Paper # VLD98-32
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Conference Information
Committee VLD
Conference Date 1998/7/31(1days)
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Registration To VLSI Design Technologies (VLD)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Small Size Realization of a VLSI Self-Organizing Network Based on the Error Analysis
Sub Title (in English)
Keyword(1) Self-Organizing Clustering
Keyword(2) Error Analysis
Keyword(3) Pipeline Processing
1st Author's Name Junya Ohkubo
1st Author's Affiliation Graduate School of Engineering, Hokkaido University()
2nd Author's Name Yoshikazu Miyanaga
2nd Author's Affiliation Graduate School of Engineering, Hokkaido University
3rd Author's Name Koji Tochinai
3rd Author's Affiliation Graduate School of Engineering, Hokkaido University
Date 1998/7/31
Paper # VLD98-32
Volume (vol) vol.98
Number (no) 232
Page pp.pp.-
#Pages 6
Date of Issue