Genetic fuzzy systems
Evolutionary Tuning and Learning of Fuzzy Knowledge Bases
Oscar Cordon, Francisco Herrera, Frank Hoffman, Luis Magdalena
Résumé
Genetic Fuzzy Systems explores and discusses the 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. Genetic Fuzzy Systems represents a comprehensive treatise on the design of the fuzzy-rule-based systems using genetic algorithms, both from a theoretical and a practical perspective. It is a compendium for scientists and engineers concerned with research and applications in the domain of fuzzy systems and genetic algorithms.
Contents- Fuzzy Rule-Based Systems
- Evolutionary Computation
- Introduction to Genetic Fuzzy Systems
- Genetic Tuning Processes
- Learning with Genetic Algorithms
- Genetic Fuzzy Rule-Based Systems Based on the Michigan Approach
- Genetic Fuzzy Rule-Based Systems Based on the Pittsburgh Approach
- Genetic Fuzzy Rule-Based Systems Based on the Iterative Rule Learning Approach
- Other Genetic Fuzzy Rule-Based System
- Other Kinds of Evolutionary Fuzzy Systems
- Applications
Caractéristiques techniques
| PAPIER | |
| Éditeur(s) | World Scientific |
| Auteur(s) | Oscar Cordon, Francisco Herrera, Frank Hoffman, Luis Magdalena |
| Parution | 01/07/2001 |
| Nb. de pages | 462 |
| Format | 15 x 21,5 |
| Couverture | Broché |
| Poids | 650g |
| Intérieur | Noir et Blanc |
| EAN13 | 9789810240172 |
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