• First-order interval type-1 no...

Result: First-order interval type-1 non-singleton type-2 TSK fuzzy logic systems

Title:
First-order interval type-1 non-singleton type-2 TSK fuzzy logic systems
Authors:
MENDEZ, Gerardo M, ADOLFO LEDUC, Luis
Source:
MICAI 2006 (advances in artificial intelligence)Lecture notes in computer science. :81-89
Publisher Information:
Berlin; Heidelberg; New York: Springer, 2006.
Publication Year:
2006
Physical Description:
print, 18 ref 1
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Intelligence artificielle, Artificial intelligence, Algorithme rétropropagation, Backpropagation algorithm, Algoritmo retropropagación, Antécédent, Antecedent, Antecedente, Coulée continue, Continuous casting, Colada continua, Entrée sortie, Input output, Entrada salida, Intelligence artificielle, Artificial intelligence, Inteligencia artificial, Laminoir feuillard, Strip mill, Laminador fleje, Logique floue, Fuzzy logic, Lógica difusa, Modélisation, Modeling, Modelización, Poutre, Beam(mechanics), Viga, Programmation logique, Logical programming, Programación lógica, Système flou, Fuzzy system, Sistema difuso, Système incertain, Uncertain system, Sistema incierto, Température superficielle, Surface temperature, Temperatura superficial, Théorie type, Type theory, Traitement surface, Surface treatment, Tratamiento superficie
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Department of Electronics and Electromechanical Engineering Instituto Tecnológico de Nuevo León Av. Eloy Cavazos #2001, Cd. Guadalupe, NL, CP. 67170, Mexico
Department of Process Engineering Hylsa, S.A. de C.V, Monterrey, NL, Mexico
ISSN:
0302-9743
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=19151694
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
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
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.19151694
Database:
PASCAL Archive

Further Information

This article presents the implementation of first-order interval type- 1 non-singleton type-2 TSK fuzzy logic system (FLS). Using input-output data pairs during the forward pass of the training process, the interval type-1 non-singleton type-2 TSK FLS output is calculated and the consequent parameters are estimated by back-propagation (BP) method. In the backward pass, the error propagates backward, and the antecedent parameters are estimated also by back-propagation. The proposed interval type-1 non-singleton type-2 TSK FLS system was used to construct a fuzzy model capable of approximating the behaviour of the steel strip temperature as it is being rolled in an industrial Hot Strip Mill (HSM) and used to predict the transfer bar surface temperature at finishing Scale Breaker (SB) entry zone, being able to compensate for uncertain measurements that first-order interval singleton type-2 TSK FLS can not do.