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.
Development of fuzzy state controller and its application to a hydraulic position servo
โ Scribed by Tienan Zhao; Tapio Virvalo
- Publisher
- Elsevier Science
- Year
- 1995
- Tongue
- English
- Weight
- 434 KB
- Volume
- 70
- Category
- Article
- ISSN
- 0165-0114
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