Name
Abstract | ||
|---|---|---|
A Kohonen network as a self-organizing mechanism supplies an important contribution in the development of neural networks. The learning aspect is mainly aimed at the quantification of vectors, which can be accompanied by a reduction of the dimension. Further, the property that “shapes” remain kept with self-organizing feature maps, makes the Kohonen network a very strong instrument. |
Year | DOI | Venue |
|---|---|---|
1995 | 10.1007/BFb0027024 | Artificial neural networks |
Keywords | DocType | ISBN |
Kohonen Network | Conference | 3-540-59488-4 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| O. J. Vrieze | 1 | 49 | 19.22 |