This paper presents a neural network classifier that learns disjunctive fuzzy information in the feature space. This neural network consists of two types of nodes in the hidden layer. The prototype nodes and exemplar nodes represent cluster centroids and exceptions in the feature space, respectively
✦ LIBER ✦
Realization of a fuzzy Boolean neural network classifier
✍ Scribed by V. Guštin
- Publisher
- Elsevier Science
- Year
- 1994
- Weight
- 509 KB
- Volume
- 40
- Category
- Article
- ISSN
- 0165-6074
No coin nor oath required. For personal study only.
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