Bibliographic Details
| Title: |
Growing a hypercubical output space in a self-organizing feature map. |
| Authors: |
Bauer, Hans-Ulrich, Villmann, Thomas |
| Source: |
IEEE Transactions on Neural Networks. Mar97, Vol. 8 Issue 2, p218. 9p. 6 Diagrams, 1 Chart, 9 Graphs. |
| Subject Terms: |
*Algorithms, MAP (Computer program language) |
| Abstract: |
Presents the growing self-organizing map (GSOM) which enhances a widespread map self-organization processes and Kohonen's self-organizing feature map (SOFM), by an adaptation of the output space grid during learning. Kohonen algorithm for self-organizing feature maps; GSOM-algorithm for maps with hypercubical output spaces; Examples of maps; Discussion of the study. |
| Database: |
Business Source Index |