Artificial Neural Network Utilization for FSO Link Performance Estimation
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Date
2014-04
Authors
Mudroch, Martin
Zvanovec, Stanislav
ORCID
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Společnost pro radioelektronické inženýrství
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.
Description
Citation
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
Document type
Peer-reviewed
Document version
Published version
Date of access to the full text
Language of document
en