𝔖 Bobbio Scriptorium
✦   LIBER   ✦

The Self-Tuning Fuzzy Control Research Based on Improved Genetic Algorithm

✍ Scribed by Lou, Er-jun ;Chen, Haoyong

Book ID
115477700
Publisher
IEEE
Year
2012
Weight
257 KB
Series
undefined series for scimag
Category
Article

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

A self-learning and tuning fuzzy logic c
A self-learning and tuning fuzzy logic controller based on genetic algorithms and reinforcements
✍ Hung-Yuan Chung; Chih-Kuan Chiang πŸ“‚ Article πŸ“… 1997 πŸ› John Wiley and Sons 🌐 English βš– 237 KB πŸ‘ 2 views

This article presents a new method for learning and tuning a fuzzy logic controller automatically. A reinforcement learning and a genetic algorithm are used in conjunction with a multilayer neural network model of a fuzzy logic controller, which can automatically generate the fuzzy control rules and

A genetic-algorithm-based method for tun
A genetic-algorithm-based method for tuning fuzzy logic controllers
✍ H.B. GΓΌrocak πŸ“‚ Article πŸ“… 1999 πŸ› Elsevier Science 🌐 English βš– 234 KB

It has been demonstrated many times in practice that fuzzy logic controllers have an important role in rule-based expert systems. However, it is essential for a fuzzy logic controller to have an appropriate set of rules to perform at the desired level. The linguistic structure of the fuzzy logic con