𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A genetic algorithm for optimizing Takagi-Sugeno fuzzy rule bases

✍ Scribed by Patrick Siarry; François Guely

Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
621 KB
Volume
99
Category
Article
ISSN
0165-0114

No coin nor oath required. For personal study only.

📜 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 📂 Article 📅 1998 🏛 Elsevier Science 🌐 English ⚖ 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

A genetic algorithm rule-based approach
A genetic algorithm rule-based approach for land-cover classification
✍ Ming-Hseng Tseng; Sheng-Jhe Chen; Gwo-Haur Hwang; Ming-Yu Shen 📂 Article 📅 2008 🏛 Elsevier Science 🌐 English ⚖ 762 KB

Classification of land-cover information using remotely-sensed imagery is a challenging topic due to the complexity of landscapes and the spatial and spectral resolution of the images being used. Early studies of land-cover classification used statistical methods such as the maximum likelihood class