A New Modeling Method Based on Fuzzy Control Using GA
- Received Date: 2002-03-04
- Publish Date: 2002-06-15
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Key words:
- genetic algorithms /
- fuzzy control /
- parameter training /
- generalization ability
Abstract: This article proposed a new technique using Genetic Algorithms to realize Real-time fuzzy control, discussed how to form the rules, to train the parameters, the relation between the training scale and the generalization of the model comparing results of different training scales. The model has less input parameters, less rules, and smaller errors than most of other models. It has advantages in both time and space complexity. It is easy to control, and has no restriction of experience knowledge. This method is applicable to Real-time system applications.
Citation: | Wang Haimei, You Zhisheng. A New Modeling Method Based on Fuzzy Control Using GA[J]. Journal of University of Electronic Science and Technology of China, 2002, 31(3): 266-269. |