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Unsupervised learning in which a competitive neural net ( or subnet) adjusts its weights after the winning node has been chosen , See competitive neural net. |
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Clustering of similar patterns together. In this text the term " Clustering " is used only for unsupervised learning problems in which the desired groupings are not known in advance. |
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A unit in a competitive layer of a neural net; an output unit in a self-organizing net such as ART or SOM or a hidden unit in a counter propagation net. |
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Problem in which patterns are to be assigned to one of several classes . In this text the term "classification" is used only for supervised learning problems in which examples of the desired group assignments are known. |
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Held equal to , as in ''input pattern clamped on input units |
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