caa a22 4500 605469571 CHVBK 20210128100323.0 cr unu---uuuuu 210128e20150301xx s 000 0 eng 10.1007/s00500-014-1287-8 doi (NATIONALLICENCE)springer-10.1007/s00500-014-1287-8 A hybrid learning method composed by the orthogonal least-squares and the back-propagation learning algorithms for interval A2-C1 type-1 non-singleton type-2 TSK fuzzy logic systems [Elektronische Daten] [María de los Angeles Hernandez, Patricia Melin, Gerardo Méndez, Oscar Castillo, Ismael López-Juarez] The purpose of this paper is to present a hybrid learning method for interval A2-C1 type-1 non-singleton type-2 TSK fuzzy logic system that uses the recursive orthogonal least-squares algorithm to tune the type-1 consequent parameters, and the back-propagation algorithm to tune the interval type-2 antecedent parameters. Based on the combination of these two training algorithms the new hybrid learning method changes the interval type-2 fuzzy model parameters adaptively and minimizes the proposed error function as the new type-1 non-singleton input-output data pairs are processed. Its antecedent sets are interval type-2 fuzzy sets, its consequent sets are type-1 fuzzy sets, and its inputs are type-1 non-singleton fuzzy numbers with uncertain standard deviations. Comparison with the non-hybrid interval A2-C1 type-1 non-singleton type-2 Takagi-Sugeno-Kang fuzzy logic system that only uses the back-propagation algorithm for both antecedent and consequent parameter's adaptation demonstrates that the proposed hybrid algorithm is a well-performing nonlinear adaptation that enables the interval type-2 fuzzy model to optimally match the nonlinear behavior of the process. The application of the interval type-2 fuzzy logic as adaptable predictor using the proposed hybrid learning method was constructed for the modeling and prediction of the transfer bar surface temperature in an industrial hot strip mill facility. Experimental results demonstrated that this method improves the temperature prediction performance of the interval A2-C1 type-1 non-singleton type-2 Takagi-Sugeno-Kang fuzzy logic system. Springer-Verlag Berlin Heidelberg, 2014 Hybrid learning method nationallicence Fuzzy intelligent prediction nationallicence Interval type-2 fuzzy logic for system identification nationallicence Nonlinear industrial process modeling and prediction nationallicence de los Angeles Hernandez María Departamento de Ciencias Económico-Administrativas, Instituto Tecnológico de Nuevo León, CP67170, Cd. Guadalupe, Mexico aut Melin Patricia Division of Graduate Studies and Research, Instituto Tecnológico de Tijuana, Tijuana, BC, Mexico aut Méndez Gerardo Departamento de Ingeniería Eléctrica y Electrónica, Instituto Tecnológico de Nuevo León, CP67170, Cd. Guadalupe, Mexico aut Castillo Oscar Division of Graduate Studies and Research, Instituto Tecnológico de Tijuana, Tijuana, BC, Mexico aut López-Juarez Ismael Centro de Manufactura Avanzada, Centro de Investigaciones y Estudios Avanzados del IPN Unidad Saltillo, Ramos Arispe, Coahuila, Mexico aut Soft Computing Springer Berlin Heidelberg 19/3(2015-03-01), 661-678 1432-7643 19:3<661 2015 19 500 https://doi.org/10.1007/s00500-014-1287-8 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00500-014-1287-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- de los Angeles Hernandez María Departamento de Ciencias Económico-Administrativas, Instituto Tecnológico de Nuevo León, CP67170, Cd. Guadalupe, Mexico aut NATIONALLICENCE 700 1- Melin Patricia Division of Graduate Studies and Research, Instituto Tecnológico de Tijuana, Tijuana, BC, Mexico aut NATIONALLICENCE 700 1- Méndez Gerardo Departamento de Ingeniería Eléctrica y Electrónica, Instituto Tecnológico de Nuevo León, CP67170, Cd. Guadalupe, Mexico aut NATIONALLICENCE 700 1- Castillo Oscar Division of Graduate Studies and Research, Instituto Tecnológico de Tijuana, Tijuana, BC, Mexico aut NATIONALLICENCE 700 1- López-Juarez Ismael Centro de Manufactura Avanzada, Centro de Investigaciones y Estudios Avanzados del IPN Unidad Saltillo, Ramos Arispe, Coahuila, Mexico aut NATIONALLICENCE 773 0- Soft Computing Springer Berlin Heidelberg 19/3(2015-03-01), 661-678 1432-7643 19:3<661 2015 19 500