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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, 1998Accepted:August 28, 1998Published: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: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.Data files:
