The training of neural classifiers with condensed datasets
In this paper we apply a k-nearest-neighbor-based data condensing algorithm to the training set of multilayer perceptron neural networks. By removing the overlapping data and retaining only training exemplars adjacent to the decision boundary we are able to significantly speed the network training t...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society. - 1996. - 32(2002), 2 vom: 28., Seite 202-6
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| 1. Verfasser: |
Choi, S H
(VerfasserIn) |
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| Weitere Verfasser: |
Rockett, P |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2002
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society
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| Schlagworte: | Journal Article |
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