๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Designing fuzzy net controllers using genetic algorithms

โœ Scribed by

Book ID
121866891
Publisher
IEEE
Year
1995
Tongue
English
Weight
668 KB
Volume
15
Category
Article
ISSN
1066-033X

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Tuning fuzzy logic controllers by geneti
Tuning fuzzy logic controllers by genetic algorithms
โœ F. Herrera; M. Lozano; J.L. Verdegay ๐Ÿ“‚ Article ๐Ÿ“… 1995 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 692 KB

The performance of a fuzzy logic controller depends on its control rules and membership functions. Hence, it is very important to adjust these parameters to the process to be controlled. A method is presented for tuning fuzzy control rules by genetic algorithms to make the fuzzy logic control system

Learning fuzzy rules for controllers wit
Learning fuzzy rules for controllers with genetic algorithms
โœ T. Pal; N. R. Pal; M. Pal ๐Ÿ“‚ Article ๐Ÿ“… 2003 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 154 KB

A genetic algorithm (GA)-based scheme for learning fuzzy rules for controllers, called an optimized fuzzy logic controller (OFLC) was proposed by Chan, Xie and Rad (2000). In this article we first analyze their OFLC and discuss some of its limitations. We also propose some modifications on an OFLC t