Genetic Fuzzy Systems : Evolutionary Tuning and Learning of Fuzzy Knowledge Bases.
In recent years, a great number of publications have explored the use of genetic algorithms as a tool for designing fuzzy systems. Genetic Fuzzy Systems explores and discusses this symbiosis of evolutionary computation and fuzzy logic. The book summarizes and analyzes the novel field of genetic fuzz...
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| Online Access: |
Full Text (via ProQuest) |
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| Main Author: | |
| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
Singapore :
World Scientific Publishing Company,
2001.
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| Series: | Advances in Fuzzy Systems-Applications and Theory.
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MARC
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| 100 | 1 | |a Herrera, Francisco |c (Computer scientist) | |
| 245 | 1 | 0 | |a Genetic Fuzzy Systems : |b Evolutionary Tuning and Learning of Fuzzy Knowledge Bases. |
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| 490 | 1 | |a Advances in Fuzzy Systems-Applications and Theory. | |
| 520 | |a In recent years, a great number of publications have explored the use of genetic algorithms as a tool for designing fuzzy systems. Genetic Fuzzy Systems explores and discusses this symbiosis of evolutionary computation and fuzzy logic. The book summarizes and analyzes the novel field of genetic fuzzy systems, paying special attention to genetic algorithms that adapt and learn the knowledge base of a fuzzy-rule-based system. It introduces the general concepts, foundations and design principles of genetic fuzzy systems and covers the topic of genetic tuning of fuzzy systems. It also introduces t. | ||
| 588 | 0 | |a Print version record. | |
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| 700 | 1 | |a Magdalena, Luis. | |
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| 830 | 0 | |a Advances in Fuzzy Systems-Applications and Theory. | |
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