Hybrid ARIMA and Neural Network Modelling Applied to Telecommunications in Urban Environments in the Amazon Region
This study explores the use of a hybrid Autoregressive Integrated Moving Average (ARIMA) and Neural Network modelling for estimates of the electric field along vertical paths (buildings) close to Digital Television (DTV) transmitters. The work was carried out in Belém city, one of the most urbanized...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2020/2671746 |
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| author | Ramz L. Fraiha Lopes Simone G. C. Fraiha Vinicius D. Lima Herminio S. Gomes Gervásio P. S. Cavalcante |
| author_facet | Ramz L. Fraiha Lopes Simone G. C. Fraiha Vinicius D. Lima Herminio S. Gomes Gervásio P. S. Cavalcante |
| author_sort | Ramz L. Fraiha Lopes |
| collection | DOAJ |
| description | This study explores the use of a hybrid Autoregressive Integrated Moving Average (ARIMA) and Neural Network modelling for estimates of the electric field along vertical paths (buildings) close to Digital Television (DTV) transmitters. The work was carried out in Belém city, one of the most urbanized cities in the Brazilian Amazon and includes a case study of the application of this modelling within the subscenarios found in Belém. Its results were compared with the ITU recommendations P. 1546-5 and proved to be better in every subscenario analysed. In the worst case, the estimate of the model was approximately 65% better than that of the ITU. We also compared this modelling with a classic modelling technique: the Least Squares (LS) method. In most situations, the hybrid model achieved better results than the LS. |
| format | Article |
| id | doaj-art-ad93cf9e14694086a9b6499ebcffc547 |
| institution | Kabale University |
| issn | 1687-5869 1687-5877 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-ad93cf9e14694086a9b6499ebcffc5472025-02-03T06:07:38ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772020-01-01202010.1155/2020/26717462671746Hybrid ARIMA and Neural Network Modelling Applied to Telecommunications in Urban Environments in the Amazon RegionRamz L. Fraiha Lopes0Simone G. C. Fraiha1Vinicius D. Lima2Herminio S. Gomes3Gervásio P. S. Cavalcante4Post Graduation Program in Electrical Engineering (PPGEE), Federal University of Pará (UFPA), Belém 66075-110, BrazilPost Graduation Program in Electrical Engineering (PPGEE), Federal University of Pará (UFPA), Belém 66075-110, BrazilPost Graduation Program in Electrical Engineering (PPGEE), Federal University of Pará (UFPA), Belém 66075-110, BrazilPost Graduation Program in Electrical Engineering (PPGEE), Federal University of Pará (UFPA), Belém 66075-110, BrazilPost Graduation Program in Electrical Engineering (PPGEE), Federal University of Pará (UFPA), Belém 66075-110, BrazilThis study explores the use of a hybrid Autoregressive Integrated Moving Average (ARIMA) and Neural Network modelling for estimates of the electric field along vertical paths (buildings) close to Digital Television (DTV) transmitters. The work was carried out in Belém city, one of the most urbanized cities in the Brazilian Amazon and includes a case study of the application of this modelling within the subscenarios found in Belém. Its results were compared with the ITU recommendations P. 1546-5 and proved to be better in every subscenario analysed. In the worst case, the estimate of the model was approximately 65% better than that of the ITU. We also compared this modelling with a classic modelling technique: the Least Squares (LS) method. In most situations, the hybrid model achieved better results than the LS.http://dx.doi.org/10.1155/2020/2671746 |
| spellingShingle | Ramz L. Fraiha Lopes Simone G. C. Fraiha Vinicius D. Lima Herminio S. Gomes Gervásio P. S. Cavalcante Hybrid ARIMA and Neural Network Modelling Applied to Telecommunications in Urban Environments in the Amazon Region International Journal of Antennas and Propagation |
| title | Hybrid ARIMA and Neural Network Modelling Applied to Telecommunications in Urban Environments in the Amazon Region |
| title_full | Hybrid ARIMA and Neural Network Modelling Applied to Telecommunications in Urban Environments in the Amazon Region |
| title_fullStr | Hybrid ARIMA and Neural Network Modelling Applied to Telecommunications in Urban Environments in the Amazon Region |
| title_full_unstemmed | Hybrid ARIMA and Neural Network Modelling Applied to Telecommunications in Urban Environments in the Amazon Region |
| title_short | Hybrid ARIMA and Neural Network Modelling Applied to Telecommunications in Urban Environments in the Amazon Region |
| title_sort | hybrid arima and neural network modelling applied to telecommunications in urban environments in the amazon region |
| url | http://dx.doi.org/10.1155/2020/2671746 |
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