TEC Data Forecasting Using a Novel Nonlinear Model

TEC Data Forecasting Using a Novel Nonlinear Model

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 t...

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Main Authors: Jun Wang, Bihua Zhou, Shudao Zhou
Format: Article
Language:English
Published: Hindawi Limited 2015-01-01
Series:Advances in Astronomy
Online Access:http://dx.doi.org/10.1155/2015/524203
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spelling doaj-b35a5daafcb748be807133c517006d602020-11-24T21:06:48ZengHindawi LimitedAdvances in Astronomy1687-79691687-79772015-01-01201510.1155/2015/524203524203TEC Data Forecasting Using a Novel Nonlinear ModelJun Wang0Bihua Zhou1Shudao Zhou2National Key Laboratory on Electromagnetic Environmental Effects and Electro-Optical Engineering, PLA University of Science and Technology, Nanjing 210007, ChinaNational Key Laboratory on Electromagnetic Environmental Effects and Electro-Optical Engineering, PLA University of Science and Technology, Nanjing 210007, ChinaCollege of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing 211101, ChinaA 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.http://dx.doi.org/10.1155/2015/524203
collection DOAJ
language English
format Article
sources DOAJ
author Jun Wang
Bihua Zhou
Shudao Zhou
spellingShingle Jun Wang
Bihua Zhou
Shudao Zhou
TEC Data Forecasting Using a Novel Nonlinear Model
Advances in Astronomy
author_facet Jun Wang
Bihua Zhou
Shudao Zhou
author_sort Jun Wang
title TEC Data Forecasting Using a Novel Nonlinear Model
title_short TEC Data Forecasting Using a Novel Nonlinear Model
title_full TEC Data Forecasting Using a Novel Nonlinear Model
title_fullStr TEC Data Forecasting Using a Novel Nonlinear Model
title_full_unstemmed TEC Data Forecasting Using a Novel Nonlinear Model
title_sort tec data forecasting using a novel nonlinear model
publisher Hindawi Limited
series Advances in Astronomy
issn 1687-7969
1687-7977
publishDate 2015-01-01
description 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.
url http://dx.doi.org/10.1155/2015/524203
work_keys_str_mv AT junwang tecdataforecastingusinganovelnonlinearmodel
AT bihuazhou tecdataforecastingusinganovelnonlinearmodel
AT shudaozhou tecdataforecastingusinganovelnonlinearmodel
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