✦ LIBER ✦

Removing numerical instabilities in the Preisach model identification using genetic algorithms

✍ Scribed by G. Consolo; G. Finocchio; M. Carpentieri; B. Azzerboni

Publisher: Elsevier Science
Year: 2006
Tongue: English
Weight: 215 KB
Volume: 372
Category: Article
ISSN: 0921-4526
DOI: 10.1016/j.physb.2005.10.014

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A structure identification method of sub

A structure identification method of submodels for hierarchical fuzzy modeling using the multiple objective genetic algorithm

✍ Kanta Tachibana; Takeshi Furuhashi 📂 Article 📅 2002 🏛 John Wiley and Sons 🌐 English ⚖ 424 KB

Fuzzy models describe nonlinear input-output relationships with linguistic fuzzy rules. A hierarchical fuzzy modeling is promising for identification of fuzzy models of target systems that have many input variables. In the identification, (1) determination of a hierarchical structure of submodels, (

Fuzzy cluster analysis constructed by nu

Fuzzy cluster analysis constructed by numeric genetic algorithm (NGA) and its use in the evaluation of heterogeneity of temporarily protective oil coating

✍ Q. Zhong; M. Rohwerder; W. Chen; D. Liu 📂 Article 📅 2004 🏛 John Wiley and Sons 🌐 German ⚖ 217 KB

## Abstract A fuzzy cluster analysis based on a numeric genetic algorithm (NGA) was applied for the study of the inhomogeneity of temporarily protective oil coating. Three different types of film behaviour can be assigned to the investigated temporarily protective coating: corrosive, protective and