Performance evaluation of the self-organizing map for feature extraction
نویسندگان
چکیده
منابع مشابه
Performance evaluation of the self-organizing map for feature extraction
[1] Despite its wide applications as a tool for feature extraction, the Self-Organizing Map (SOM) remains a black box to most meteorologists and oceanographers. This paper evaluates the feature extraction performance of the SOM by using artificial data representative of known patterns. The SOM is shown to extract the patterns of a linear progressive sine wave. Sensitivity studies are performed ...
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The feature map represented by the set of weight vectors of the basic SOM (Self-Organizing Map) provides a good approximation to the input space from which the sample vectors come. But the timedecreasing learning rate and neighborhood function of the basic SOM algorithm reduce its capability to adapt weights for a varied environment. In dealing with non-stationary input distributions and changi...
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ژورنال
عنوان ژورنال: Journal of Geophysical Research
سال: 2006
ISSN: 0148-0227
DOI: 10.1029/2005jc003117