TEC Data Forecasting Using a Novel Nonlinear Model
Joint Authors
Wang, Jun
Zhou, Bihua
Zhou, Shudao
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-07-29
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
A novel nonlinear TEC forecasting model is proposed in the paper; the main produces of the model are as follows: first the EOF decomposition of TEC data is made, then the genetic algorithm is used to establish the nonlinear time field model, and finally the decomposed space field and the predicted time field are reconstructed to achieve the purpose of forecasting the TEC data.
Experiments indicate that the performance of the novel forecasting model is effective and superior to the direct forecasting and linear forecasting models.
American Psychological Association (APA)
Wang, Jun& Zhou, Bihua& Zhou, Shudao. 2015. TEC Data Forecasting Using a Novel Nonlinear Model. Advances in Astronomy،Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1051973
Modern Language Association (MLA)
Wang, Jun…[et al.]. TEC Data Forecasting Using a Novel Nonlinear Model. Advances in Astronomy No. 2015 (2015), pp.1-7.
https://search.emarefa.net/detail/BIM-1051973
American Medical Association (AMA)
Wang, Jun& Zhou, Bihua& Zhou, Shudao. TEC Data Forecasting Using a Novel Nonlinear Model. Advances in Astronomy. 2015. Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1051973
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1051973