Fuzzy slopes model of nonlinear systems with sparse data

Verfasser / Beitragende:
[José de Jesús Rubio]
Ort, Verlag, Jahr:
2015
Enthalten in:
Soft Computing, 19/12(2015-12-01), 3507-3514
Format:
Artikel (online)
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024 7 0 |a 10.1007/s00500-014-1289-6  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s00500-014-1289-6 
100 1 |a de Jesús Rubio  |D José  |u 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  |4 aut 
245 1 0 |a Fuzzy slopes model of nonlinear systems with sparse data  |h [Elektronische Daten]  |c [José de Jesús Rubio] 
520 3 |a 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. 
540 |a Springer-Verlag Berlin Heidelberg, 2014 
690 7 |a Fuzzy modeling  |2 nationallicence 
690 7 |a Slopes algorithm  |2 nationallicence 
690 7 |a Analytic modeling  |2 nationallicence 
690 7 |a Wind turbine  |2 nationallicence 
773 0 |t Soft Computing  |d Springer Berlin Heidelberg  |g 19/12(2015-12-01), 3507-3514  |x 1432-7643  |q 19:12<3507  |1 2015  |2 19  |o 500 
856 4 0 |u https://doi.org/10.1007/s00500-014-1289-6  |q text/html  |z Onlinezugriff via DOI 
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900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s00500-014-1289-6  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 100  |E 1-  |a de Jesús Rubio  |D José  |u 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  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Soft Computing  |d Springer Berlin Heidelberg  |g 19/12(2015-12-01), 3507-3514  |x 1432-7643  |q 19:12<3507  |1 2015  |2 19  |o 500