Analytic neural network model of a wind turbine
| LEADER | caa a22 4500 | ||
|---|---|---|---|
| 001 | 605469180 | ||
| 003 | CHVBK | ||
| 005 | 20210128100321.0 | ||
| 007 | cr unu---uuuuu | ||
| 008 | 210128e20151201xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s00500-014-1290-0 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s00500-014-1290-0 | ||
| 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 Analytic neural network model of a wind turbine |h [Elektronische Daten] |c [José de Jesús Rubio] |
| 520 | 3 | |a In this paper, an analytic neural network model is introduced for the modeling of the wind turbine behavior. The proposed hybrid method is the combination of the analytic and neural network models. The neural network model is used as a compensator to improve the approximation of the analytic model. It is guaranteed that the error of the analytic neural network model is smaller than the error of the analytic model. Two experiments show the effectiveness of the proposed technique. | |
| 540 | |a Springer-Verlag Berlin Heidelberg, 2014 | ||
| 690 | 7 | |a Neural network modeling |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), 3455-3463 |x 1432-7643 |q 19:12<3455 |1 2015 |2 19 |o 500 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s00500-014-1290-0 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 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/s00500-014-1290-0 |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), 3455-3463 |x 1432-7643 |q 19:12<3455 |1 2015 |2 19 |o 500 | ||