Affine Takagi-Sugeno fuzzy modelling algorithm by fuzzy c-regression models clustering with a novel cluster validity criterion
- Author
- KUNG, C. C1 ; SU, J. Y1
[1] Department of Electrical Engineering, Tatung University, 40 Chungshan North Road, 3rd Sec, Taipei, Taiwan, Province of China - Source
IET control theory & applications (Print). 2007, Vol 1, Num 5, pp 1255-1265, 11 p ; ref : 42 ref
- ISSN
- 1751-8644
- Scientific domain
- Control theory, operational research
- Publisher
- Institution of engineering and technology, Stevenage
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Keyword (fr)
- Algorithme flou Analyse régression Classification Commande non linéaire Descente gradient Ensemble flou Fonction appartenance Fonctionnelle linéaire Logique floue Modèle non linéaire Modèle régression Modélisation Méthode descente Valeur consigne
- Keyword (en)
- Fuzzy algorithm Regression analysis Classification Non linear control Gradient descent Fuzzy set Membership function Linear functional Fuzzy logic Non linear model Regression model Modeling Descent method Set point
- Keyword (es)
- Algoritmo borroso Análisis regresión Clasificación Control no lineal Gradient bajada Conjunto difuso Función pertenencia Funciónal lineal Lógica difusa Modelo no lineal Modelo regresión Modelización Método descenso Valor consigna
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02D Control theory. Systems
- Discipline
- Computer science : theoretical automation and systems
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 19013564
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1049/iet-cta:20060415 
https://dx.doi.org/10.1049/iet-cta:20060415
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