𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Development of genetic algorithm-based fuzzy rules design for metal cutting data selection

✍ Scribed by S.V Wong; A.M.S Hamouda

Book ID
108457112
Publisher
Elsevier Science
Year
2002
Tongue
English
Weight
219 KB
Volume
18
Category
Article
ISSN
0736-5845

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Genetic algorithms for learning the rule
Genetic algorithms for learning the rule base of fuzzy logic controller
✍ T.C. Chin; X.M. Qi πŸ“‚ Article πŸ“… 1998 πŸ› Elsevier Science 🌐 English βš– 432 KB

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

Hybridizing genetic algorithms with shar
Hybridizing genetic algorithms with sharing scheme and evolution strategies for designing approximate fuzzy rule-based systems
✍ O. CordΓ³n; F. Herrera πŸ“‚ Article πŸ“… 2001 πŸ› Elsevier Science 🌐 English βš– 239 KB

Genetic algorithms and evolution strategies are combined in order to build a multi-stage hybrid evolutionary algorithm for learning constrained approximate Mamdani-type knowledge bases from examples. The genetic algorithm niche concept is used in two of the three stages composing the learning proces