Application of Computational Intelligence in Order to Develop Hybrid Orbit Propagation Methods
Joint Authors
López, Luis M.
San-Martín, Montserrat
San-Juan, Juan Félix
Pérez, Iván
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-11-13
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
We present a new approach in astrodynamics and celestial mechanics fields, called hybrid perturbation theory.
A hybrid perturbation theory combines an integrating technique, general perturbation theory or special perturbation theory or semianalytical method, with a forecasting technique, statistical time series model or computational intelligence method.
This combination permits an increase in the accuracy of the integrating technique, through the modeling of higher-order terms and other external forces not considered in the integrating technique.
In this paper, neural networks have been used as time series forecasters in order to help two economic general perturbation theories describe the motion of an orbiter only perturbed by the Earth’s oblateness.
American Psychological Association (APA)
Pérez, Iván& San-Juan, Juan Félix& San-Martín, Montserrat& López, Luis M.. 2013. Application of Computational Intelligence in Order to Develop Hybrid Orbit Propagation Methods. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-1032045
Modern Language Association (MLA)
Pérez, Iván…[et al.]. Application of Computational Intelligence in Order to Develop Hybrid Orbit Propagation Methods. Mathematical Problems in Engineering No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-1032045
American Medical Association (AMA)
Pérez, Iván& San-Juan, Juan Félix& San-Martín, Montserrat& López, Luis M.. Application of Computational Intelligence in Order to Develop Hybrid Orbit Propagation Methods. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-1032045
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1032045