Hierarchical genetic fuzzy systems

Information Sciences

Volumn 136, Issue 1-4, 2001, Pages 29-52

  Regattieri Delgado, M ^a   Von Zuben, F ^a   Gomide, F ^a  

^a UNIVERSITY OF CAMPINAS   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

DATA STRUCTURES; GENETIC ALGORITHMS; HIERARCHICAL SYSTEMS; LEAST SQUARES APPROXIMATIONS; OPTIMIZATION; PROBLEM SOLVING;

HIERARCHICAL EVOLUTIONARY METHOD; TAKAGI-SUGENO FUZZY SYSTEMS;

FUZZY SETS;

EID: 0035426815     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0020-0255(01)00140-2     Document Type: Article

References (26)

1. A staged approach for generation and compression of fuzzy classification rules
2. An efficient learning method of fuzzy inference system
3. A two-stage evolutionary process for designing TSK fuzzy rule-based systems
4. The use of multiple measurements in taxonomic problems
5. A cascaded genetic algorithm for improving fuzzy systems design
6. Structure identification of TSK-fuzzy systems using genetic programming
7. Genetic-algorithm-based approach to linguistic approximation of nonlinear functions with many input variables
8. ANFIS: Adaptive-network-based fuzzy inference systems
9. Integrating design stages of fuzzy systems using genetic algorithms
10. Evolutionary design of Takagi-Sugeno fuzzy systems: A modular and hierarchical approach
11. Optimal parameterization of evolutionary Takagi-Sugeno fuzzy systems
12. A self-tuning method of fuzzy control by descent method
13. Cooperative coevolution: An architecture for evolving coadapted subcomponents
14. Automatic training of ANFIS networks
15. Implementation of evolutionary fuzzy systems
16. A genetic algorithm for optimizing Takagi-Sugeno fuzzy rule bases
17. Fuzzy min-max neural networks - Part I: Classification
18. Using the ADAP learning algorithm to forecast the onset of diabetes mellitus
19. Derivation of fuzzy control rules from human operator's control actions
20. No free lunch theorems for optimization