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JACIII Vol.2 No.6 pp. 203-207
doi: 10.20965/jaciii.1998.p0203
(1998)

Paper:

An Adaptive Self-Organizing Algorithm with Virtual Connection

Shingo Kawahara and Toshimichi Saito

EEE Dept., HOSEI Univ. 3-7-2 Kajino-cho, Koganei-shi, Tokyo 184-8584, Japan

Received:
May 1, 1998
Accepted:
August 28, 1998
Published:
December 20, 1998
Keywords:
Unsupervised learning, Self-organizing feature mapping, Growing cell structures, Classification, Vector quantization
Abstract

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.

Cite this article as:
Shingo Kawahara and Toshimichi Saito, “An Adaptive Self-Organizing Algorithm with Virtual Connection,” J. Adv. Comput. Intell. Intell. Inform., Vol.2, No.6, pp. 203-207, 1998.
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