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Advances in Astronomy
Volume 2015 (2015), Article ID 524203, 7 pages
http://dx.doi.org/10.1155/2015/524203
Research Article

TEC Data Forecasting Using a Novel Nonlinear Model

1National Key Laboratory on Electromagnetic Environmental Effects and Electro-Optical Engineering, PLA University of Science and Technology, Nanjing 210007, China
2College of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing 211101, China

Received 3 April 2015; Revised 14 July 2015; Accepted 16 July 2015

Academic Editor: Elmetwally Elabbasy

Copyright © 2015 Jun Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

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.