Representation of the characteristics of piezoelectric fiber composites with neural networks

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dc.contributor.authorYapici, A.
dc.contributor.authorBickraj, K.
dc.contributor.authorYenilmez, A.
dc.contributor.authorLi, M.
dc.contributor.authorTansel, I. N.
dc.contributor.authorMartin, S. A.
dc.contributor.authorPereira, C. M.
dc.date.accessioned2020-03-26T17:18:07Z
dc.date.available2020-03-26T17:18:07Z
dc.date.issued2007
dc.departmentSelçuk Üniversitesien_US
dc.description33rd Annual Review of Progress in Quantitative Nondestructive Evaluation -- JUL 30-AUG 04, 2006 -- Portland, ORen_US
dc.description.abstractIdeal sensors for the future should be economical, efficient, highly intelligent and capable of obtaining their operation power from the environment. The use of piezoelectric fiber composites coupled with a low power microprocessor and backpropagation type neural networks is proposed for the development of a simple sensor to estimate the characteristics of harmonic forces. Three neural networks were used for the estimation of amplitude, gain and variation of the load in the time domain. The average estimation errors of the neural networks were less than 8% in all of the studied cases.en_US
dc.identifier.endpage925en_US
dc.identifier.isbn978-0-7354-0399-4
dc.identifier.issn0094-243Xen_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage918en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/21588
dc.identifier.volume894en_US
dc.identifier.wosWOS:000245889000118en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherAMER INST PHYSICSen_US
dc.relation.ispartofReview of Progress in Quantitative Nondestructive Evaluation, Vols 26A and 26Ben_US
dc.relation.ispartofseriesAIP CONFERENCE PROCEEDINGS
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectpiezoelectricity and electromechanical effectsen_US
dc.subjectneural networksen_US
dc.titleRepresentation of the characteristics of piezoelectric fiber composites with neural networksen_US
dc.typeConference Objecten_US

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