The use o f fuzzy logic to model and manage uncertainty in a rule-based system places high computational demands on an inference engine. In an earlier paper, we introduced trainable neural network structures for fuzzy logic. These networks can learn and extrapolate complex relationships between poss
β¦ LIBER β¦
Neural network implementation of fuzzy logic
β Scribed by James M. Keller; Ronald R. Yager; Hossein Tahani
- Book ID
- 107901572
- Publisher
- Elsevier Science
- Year
- 1992
- Tongue
- English
- Weight
- 763 KB
- Volume
- 45
- Category
- Article
- ISSN
- 0165-0114
No coin nor oath required. For personal study only.
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