Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/7315
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Übeyli, Elif Derya | - |
dc.date.accessioned | 2021-09-11T15:56:23Z | - |
dc.date.available | 2021-09-11T15:56:23Z | - |
dc.date.issued | 2008 | en_US |
dc.identifier.issn | 0010-4825 | - |
dc.identifier.issn | 1879-0534 | - |
dc.identifier.uri | https://doi.org/10.1016/j.compbiomed.2007.07.004 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.11851/7315 | - |
dc.description.abstract | The implementation of probabilistic neural networks (PNNs) with the Lyapunov exponents for Doppler ultrasound signals classification is presented. This study is directly based on the consideration that Doppler ultrasound signals are chaotic signals. This consideration was tested successfully using the nonlinear dynamics tools, like the computation of Lyapunov exponents. Decision making was performed in two stages: computation of Lyapunov exponents as representative features of the Doppler ultrasound signals and classification using the PNNs trained on the extracted features. The present research demonstrated that the Lyapunov exponents are the features which well represent the Doppler ultrasound signals and the PNNs trained on these features achieved high classification accuracies. (C) 2007 Elsevier Ltd. All rights reserved. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Pergamon-Elsevier Science Ltd | en_US |
dc.relation.ispartof | Computers In Biology And Medicine | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Doppler ultrasound signals | en_US |
dc.subject | chaotic signal | en_US |
dc.subject | Lyapunov exponents | en_US |
dc.subject | probabilistic neural network | en_US |
dc.title | Probabilistic Neural Networks Employing Lyapunov Exponents for Analysis of Doppler Ultrasound Signals | en_US |
dc.type | Article | en_US |
dc.department | Faculties, Faculty of Engineering, Department of Electrical and Electronics Engineering | en_US |
dc.department | Fakülteler, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü | tr_TR |
dc.identifier.volume | 38 | en_US |
dc.identifier.issue | 1 | en_US |
dc.identifier.startpage | 82 | en_US |
dc.identifier.endpage | 89 | en_US |
dc.identifier.wos | WOS:000252918000009 | en_US |
dc.identifier.scopus | 2-s2.0-37049017372 | en_US |
dc.institutionauthor | Übeyli, Elif Derya | - |
dc.identifier.pmid | 17709103 | en_US |
dc.identifier.doi | 10.1016/j.compbiomed.2007.07.004 | - |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.identifier.scopusquality | Q2 | - |
item.openairetype | Article | - |
item.languageiso639-1 | en | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
Appears in Collections: | Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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