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: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-01-01
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| Series: | Advances in Astronomy |
| Online Access: | http://dx.doi.org/10.1155/2015/524203 |
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| _version_ | 1832552875846270976 |
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| author | Jun Wang Bihua Zhou Shudao Zhou |
| author_facet | Jun Wang Bihua Zhou Shudao Zhou |
| author_sort | Jun Wang |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-b35a5daafcb748be807133c517006d60 |
| institution | Kabale University |
| issn | 1687-7969 1687-7977 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Astronomy |
| spelling | doaj-art-b35a5daafcb748be807133c517006d602025-02-03T05:57:40ZengWileyAdvances 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 |
| spellingShingle | Jun Wang Bihua Zhou Shudao Zhou TEC Data Forecasting Using a Novel Nonlinear Model Advances in Astronomy |
| title | 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_short | TEC Data Forecasting Using a Novel Nonlinear Model |
| title_sort | tec data forecasting using a novel nonlinear model |
| url | http://dx.doi.org/10.1155/2015/524203 |
| work_keys_str_mv | AT junwang tecdataforecastingusinganovelnonlinearmodel AT bihuazhou tecdataforecastingusinganovelnonlinearmodel AT shudaozhou tecdataforecastingusinganovelnonlinearmodel |