In this paper, genetic algorithms are used in the study to maximise the performance of a fuzzy logic controller through the search of a subset of rule from a given knowledge base to achieve the goal of minimising the number of rules required. Comparisons are made between systems utilising reduced ru
β¦ LIBER β¦
Type-2 Fuzzy Logic Controllers Based Genetic Algorithm for the Position Control of DC Motor
β Scribed by Al-Faiz, Mohammed Zeki; Saleh, Mohammed S.; Oglah, Ahmed A.
- Book ID
- 120311481
- Publisher
- Scientific Research Publishing
- Year
- 2013
- Weight
- 336 KB
- Volume
- 04
- Category
- Article
- ISSN
- 2153-0653
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