We propose a multigroup classification algorithm based on a hybrid fuzzy neural net framework. A key feature of the approach is the adaptation of membership functions to new data. In this way, learning is reflected in the shape of the membership functions. By defining separate membership functions f
A neural network architecture for classification of fuzzy inputs
β Scribed by Hahn-Ming Lee; Weng-Tang Wang
- Publisher
- Elsevier Science
- Year
- 1994
- Tongue
- English
- Weight
- 891 KB
- Volume
- 63
- Category
- Article
- ISSN
- 0165-0114
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