A neural network is applied to the unsupervised pattern classification approach. Given a set of data consisting of unlabeled samples from several classes, the task of unsupervised classification is to label every sample in the same class by the same symbol such that the data set is divided into seve
β¦ LIBER β¦
Invariant pattern classification neural network versus FT approach
β Scribed by A. Dobnikar; J. Ficzko; D. Podbregar; U. Rezar
- Publisher
- Elsevier Science
- Year
- 1992
- Weight
- 781 KB
- Volume
- 33
- Category
- Article
- ISSN
- 0165-6074
No coin nor oath required. For personal study only.
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