Artificial Neural Network Utilization for FSO Link Performance Estimation
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Mudroch, Martin
Zvanovec, Stanislav
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Mark
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Společnost pro radioelektronické inženýrství
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Abstract
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.
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Radioengineering. 2014, vol. 23, č. 1, s. 474-479. ISSN 1210-2512
http://www.radioeng.cz/fulltexts/2014/14_01_0474_0479.pdf
http://www.radioeng.cz/fulltexts/2014/14_01_0474_0479.pdf
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Peer-reviewed
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en
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Except where otherwised noted, this item's license is described as Creative Commons Attribution 3.0 Unported License