This article presents a new method for learning and tuning a fuzzy logic controller automatically. A reinforcement learning and a genetic algorithm are used in conjunction with a multilayer neural network model of a fuzzy logic controller, which can automatically generate the fuzzy control rules and
Fuzzy logic controller based on genetic algorithms
β Scribed by Li RenHou; Zhang Yi
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 656 KB
- Volume
- 83
- Category
- Article
- ISSN
- 0165-0114
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