81 search results - page 2 / 17 » On the use of self-organizing maps to accelerate vector quan... |
CORR
2007
Springer
13 years 5 months ago
2007
Springer
Self-organizing maps (SOM) are widely used for their topology preservation property: neighboring input vectors are quantiÿed (or classiÿed) either on the same location or on nei...
IDEAL
2005
Springer
13 years 10 months ago
2005
Springer
Novelty detection involves identifying novel patterns. They are not usually available during training. Even if they are, the data quantity imbalance leads to a low classification ...
EMO
2003
Springer
13 years 10 months ago
2003
Springer
Self-Organizing Maps (SOMs) have been used to visualize tradeoffs of Pareto solutions in the objective function space for engineering design obtained by Evolutionary Computation. F...
ICNC
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. Self-Organizing Maps (SOM) is a powerful tool for clustering and discovering patterns in data. Competitive learning in the SOM training process focusses on finding a neu...
IJCNN
2008
IEEE
13 years 11 months ago
2008
IEEE
Abstract— This study proposes a Batch-Learning SelfOrganizing Map with False-Neighbor degree between neurons (called BL-FNSOM). False-neighbor degrees are allocated between adjac...