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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| Vydáno v: | Journal of advanced computational intelligence and intelligent informatics Ročník 2; číslo 6; s. 203 - 207 |
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| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
20.12.1998
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| ISSN: | 1343-0130, 1883-8014 |
| On-line přístup: | Získat plný text |
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| Shrnutí: | 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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| ISSN: | 1343-0130 1883-8014 |
| DOI: | 10.20965/jaciii.1998.p0203 |