An Adaptive Self-Organizing Algorithm with Virtual Connection

In this paper, we propose an unsupervised learning algorithm that uses the concept of virtual connection. Performing some numerical experiments, we have confirmed that the algorithm has important functions: classification of the input space, labeling of the classified input space, and flexible adapt...

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Bibliographic Details
Published in:Journal of advanced computational intelligence and intelligent informatics Vol. 2; no. 6; pp. 203 - 207
Main Authors: Kawahara, Shingo, Saito, Toshimichi
Format: Journal Article
Language:English
Published: 20.12.1998
ISSN:1343-0130, 1883-8014
Online Access:Get full text
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Summary:In this paper, we propose an unsupervised learning algorithm that uses the concept of virtual connection. Performing some numerical experiments, we have confirmed that the algorithm has important functions: classification of the input space, labeling of the classified input space, and flexible adaptation to time-variant input space. The algorithm is suited for hardware implementation. An application to vector quantization is also discussed.
ISSN:1343-0130
1883-8014
DOI:10.20965/jaciii.1998.p0203