caa a22 4500 605469350 CHVBK 20210128100322.0 cr unu---uuuuu 210128e20151201xx s 000 0 eng 10.1007/s00500-014-1289-6 doi (NATIONALLICENCE)springer-10.1007/s00500-014-1289-6 de Jesús Rubio José Sección de Estudios de Posgrado e Investigación, ESIME Azcapotzalco, Instituto Politécnico Nacional, Av. de las Granjas no. 682, Col. Santa Catarina, 02250, Mexico, D.F., Mexico aut Fuzzy slopes model of nonlinear systems with sparse data [Elektronische Daten] [José de Jesús Rubio] In this paper, a fuzzy slopes model is introduced for the modeling of nonlinear systems with sparse data. The proposed method is the combination of the slopes and fuzzy models. The slopes model is used to estimate the missing output data of a nonlinear behavior; later, the fuzzy model is used to learn this behavior. The proposed method avoids the requirement to know all the data. The output of the slopes algorithm is guaranteed to be bounded. The experiments show the effectiveness of the proposed technique. Springer-Verlag Berlin Heidelberg, 2014 Fuzzy modeling nationallicence Slopes algorithm nationallicence Analytic modeling nationallicence Wind turbine nationallicence Soft Computing Springer Berlin Heidelberg 19/12(2015-12-01), 3507-3514 1432-7643 19:12<3507 2015 19 500 https://doi.org/10.1007/s00500-014-1289-6 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/s00500-014-1289-6 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- de Jesús Rubio José Sección de Estudios de Posgrado e Investigación, ESIME Azcapotzalco, Instituto Politécnico Nacional, Av. de las Granjas no. 682, Col. Santa Catarina, 02250, Mexico, D.F., Mexico aut NATIONALLICENCE 773 0- Soft Computing Springer Berlin Heidelberg 19/12(2015-12-01), 3507-3514 1432-7643 19:12<3507 2015 19 500