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


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

May 1, 1998
August 28, 1998
December 20, 1998
Unsupervised learning, Self-organizing feature mapping, Growing cell structures, Classification, Vector quantization
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:
S. Kawahara and T. 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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