A fuzzy neural network is presented. The network is composed of two parts: an antecedent network and a consequent network. The network acts as a fuzzy logic controller. The antecedent network matches the premises of the fuzzy rules and the consequent network implements the consequences of the rules.
Guided neural network learning using a fuzzy controller, with applications to textile spinning
โ Scribed by Peitsang Wu; Shu-Cherng Fang; Henry L.W. Nuttle; James R. Wilson; Russell E. King
- Publisher
- John Wiley and Sons
- Year
- 1995
- Tongue
- English
- Weight
- 952 KB
- Volume
- 2
- Category
- Article
- ISSN
- 0969-6016
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