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ORCIDNeurocomputing, Volume 21
Volume 21, Number 1-3, November 1998
- Teuvo Kohonen:
The self-organizing map. 1-6 - Javier Ruiz-del-Solar
:
TEXSOM: Texture segmentation using self-organizing maps. 7-18 - Teuvo Kohonen, Panu Somervuo:
Self-organizing maps of symbol strings. 19-30 - Stefan Rüping, Mario Porrmann, Ulrich Rückert:
SOM accelerator system. 31-50 - John A. Flanagan:
Sufficient conditions for self-organisation in the one-dimensional SOM with a reduced width neighbourhood. 51-60 - Dieter Merkl:
Text classification with self-organizing maps: Some lessons learned. 61-77 - Antonio Piras, Alain Germond:
Local linear correlation analysis with the SOM. 79-90 - Thomas Villmann, Hans-Ulrich Bauer:
Applications of the growing self-organizing map. 91-100 - Samuel Kaski, Timo Honkela, Krista Lagus, Teuvo Kohonen:
WEBSOM - Self-organizing maps of document collections. 101-117 - Marie Cottrell, Jean-Claude Fort, Gilles Pagès:
Theoretical aspects of the SOM algorithm. 119-138 - Yoonsuck Choe, Risto Miikkulainen:
Self-organization and segmentation in a laterally connected orientation map of spiking neurons. 139-157 - Kimmo Raivio, Jukka Henriksson, Olli Simula:
Neural detection of QAM signal with strongly nonlinear receiver. 159-171 - Thore Graepel, Matthias Burger, Klaus Obermayer:
Self-organizing maps: Generalizations and new optimization techniques. 173-190 - Kimmo Kiviluoto:
Predicting bankruptcies with the self-organizing map. 191-201 - Christopher M. Bishop, Markus Svensén, Christopher K. I. Williams:
Developments of the generative topographic mapping. 203-224
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