Artificial Neural Network Utilization for FSO Link Performance Estimation
This paper describes FSO link performance prediction based on available meteorological data using different Artificial Neural Network (ANN) approaches. Several types of ANNs were compared and their performance were evaluated. The paper introduces an ANN application utilizing real delayed data. This...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Spolecnost pro radioelektronicke inzenyrstvi
2014-04-01
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| Series: | Radioengineering |
| Subjects: | |
| Online Access: | http://www.radioeng.cz/fulltexts/2014/14_01_0474_0479.pdf |
| _version_ | 1828182681432621056 |
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| author | M. Mudroch S. Zvanovec |
| author_facet | M. Mudroch S. Zvanovec |
| author_sort | M. Mudroch |
| collection | DOAJ |
| description | This paper describes FSO link performance prediction based on available meteorological data using different Artificial Neural Network (ANN) approaches. Several types of ANNs were compared and their performance were evaluated. The paper introduces an ANN application utilizing real delayed data. This approach has been validated to be more precise than common feed-forward neural networks. |
| first_indexed | 2024-04-12T06:21:01Z |
| format | Article |
| id | doaj.art-fc8e6f053d90490faf3d684647b15099 |
| institution | Directory Open Access Journal |
| issn | 1210-2512 |
| language | English |
| last_indexed | 2024-04-12T06:21:01Z |
| publishDate | 2014-04-01 |
| publisher | Spolecnost pro radioelektronicke inzenyrstvi |
| record_format | Article |
| series | Radioengineering |
| spelling | doaj.art-fc8e6f053d90490faf3d684647b150992022-12-22T03:44:19ZengSpolecnost pro radioelektronicke inzenyrstviRadioengineering1210-25122014-04-01231474479Artificial Neural Network Utilization for FSO Link Performance EstimationM. MudrochS. ZvanovecThis paper describes FSO link performance prediction based on available meteorological data using different Artificial Neural Network (ANN) approaches. Several types of ANNs were compared and their performance were evaluated. The paper introduces an ANN application utilizing real delayed data. This approach has been validated to be more precise than common feed-forward neural networks.www.radioeng.cz/fulltexts/2014/14_01_0474_0479.pdfArtifficial neural networksfree-space opticsweather influence |
| spellingShingle | M. Mudroch S. Zvanovec Artificial Neural Network Utilization for FSO Link Performance Estimation Radioengineering Artifficial neural networks free-space optics weather influence |
| title | Artificial Neural Network Utilization for FSO Link Performance Estimation |
| title_full | Artificial Neural Network Utilization for FSO Link Performance Estimation |
| title_fullStr | Artificial Neural Network Utilization for FSO Link Performance Estimation |
| title_full_unstemmed | Artificial Neural Network Utilization for FSO Link Performance Estimation |
| title_short | Artificial Neural Network Utilization for FSO Link Performance Estimation |
| title_sort | artificial neural network utilization for fso link performance estimation |
| topic | Artifficial neural networks free-space optics weather influence |
| url | http://www.radioeng.cz/fulltexts/2014/14_01_0474_0479.pdf |
| work_keys_str_mv | AT mmudroch artificialneuralnetworkutilizationforfsolinkperformanceestimation AT szvanovec artificialneuralnetworkutilizationforfsolinkperformanceestimation |