An Adaptive Self-Organizing Algorithm with Virtual Connection | Zendy

S. Kawahara | Zendy; Toshimichi Saito | Zendy

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An Adaptive Self-Organizing Algorithm with Virtual Connection

Author(s) -

S. Kawahara,

Toshimichi Saito

Publication year - 1998

Publication title -

journal of advanced computational intelligence and intelligent informatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.172

H-Index - 20

eISSN - 1343-0130

pISSN - 1883-8014

DOI - 10.20965/jaciii.1998.p0203

Subject(s) - computer science , vector quantization , algorithm , learning vector quantization , connection (principal bundle) , space (punctuation) , quantization (signal processing) , virtual space , artificial intelligence , adaptation (eye) , unsupervised learning , mathematics , physics , geometry , optics , operating system

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.

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