Self-organized network with a supervised training

Yoshikazu Miyanaga, Hong Lan Jin, Rafiqul Islam, Koji Tochinai

Research output: Contribution to journalConference articlepeer-review

5 Citations (Scopus)

Abstract

This report introduces a self-organized network with a supervisor for data clustering and recognition. The network consists of a self-organized module and a supervised module. The self-organized module has been mainly controlled by the information of input data. However, the proposed module is also trained by a supervised learning. The supervised learning is applied to the supervised module first and then it is also applied to the self-organized module in order to realize higher generality and higher accuracy than conventional neural networks.

Original languageEnglish
Pages (from-to)482-485
Number of pages4
JournalProceedings - IEEE International Symposium on Circuits and Systems
Volume1
Publication statusPublished - 1995
Externally publishedYes
EventProceedings of the 1995 IEEE International Symposium on Circuits and Systems-ISCAS 95. Part 3 (of 3) - Seattle, WA, USA
Duration: Apr 30 1995May 3 1995

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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