Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/81683
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dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorWang, HD-
dc.creatorZhou, J-
dc.creatorWang, YZ-
dc.creatorWei, JL-
dc.creatorLiu, WP-
dc.creatorYu, C-
dc.creatorLi, ZH-
dc.date.accessioned2020-02-10T12:28:37Z-
dc.date.available2020-02-10T12:28:37Z-
dc.identifier.issn2076-3417-
dc.identifier.urihttp://hdl.handle.net/10397/81683-
dc.language.isoenen_US
dc.publisherMolecular Diversity Preservation International (MDPI)en_US
dc.rights© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).en_US
dc.rightsThe following publication Wang, H. D., Zhou, J., Wang, Y. Z., Wei, J. L., Liu, W. P., Yu, C. Y., & Li, Z. H. (2019). Optimization algorithms of neural networks for traditional time-domain equalizer in optical communications. Applied Sciences, 9(18), 3907, 1-10 is available at https://dx.doi.org/10.3390/app9183907en_US
dc.subjectneural networksen_US
dc.subjectOptical communicationsen_US
dc.subjectOptimizationen_US
dc.subjectEqualizeren_US
dc.subjectTap estimationen_US
dc.titleOptimization algorithms of neural networks for traditional time-domain equalizer in optical communicationsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1-
dc.identifier.epage10-
dc.identifier.volume9-
dc.identifier.issue18-
dc.identifier.doi10.3390/app9183907-
dcterms.abstractNeural networks (NNs) have been successfully applied to channel equalization for optical communications. In optical fiber communications, the linear equalizer and the nonlinear equalizer with traditional structures might be more appropriate than NNs for performing real-time digital signal processing, owing to its much lower computational complexity. However, the optimization algorithms of NNs are useful in many optimization problems. In this paper, we propose and evaluate the tap estimation schemes for the equalizer with traditional structures in optical fiber communications using the optimization algorithms commonly used in the NNs. The experimental results show that adaptive moment estimation algorithm and batch gradient descent method perform well in the tap estimation of equalizer. In conclusion, the optimization algorithms of NNs are useful in the tap estimation of equalizer with traditional structures in optical communications.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationApplied sciences, Sept. 2019, v. 9, no. 18, 3907, p. 1-10-
dcterms.isPartOfApplied sciences-
dcterms.issued2019-
dc.identifier.isiWOS:000489115200267-
dc.identifier.artn3907-
dc.description.validate202002 bcrc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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