Neurocomputing, 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