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dc.contributor.authorMezgil B.
dc.contributor.authorErdogan D.
dc.contributor.authorAlduran Y.
dc.contributor.authorYildiz U.H.
dc.contributor.authorYildiz A.A.
dc.contributor.authorBastanlar Y.
dc.date.accessioned2020-07-18T03:35:09Z
dc.date.available2020-07-18T03:35:09Z
dc.date.issued2017
dc.identifier.isbn9781509064946
dc.identifier.urihttps://doi.org/10.1109/SIU.2017.7960184
dc.identifier.urihttps://hdl.handle.net/11147/7802
dc.description25th Signal Processing and Communications Applications Conference, SIU 2017 -- 15 May 2017 through 18 May 2017 -- -- 128703en_US
dc.description.abstractLow sucrose concentrations in solutions is estimated by means of localized surface plasmon resonance of immobilized gold nanoparticles. The ultraviolet-visible spectra (UV-Vis) of samples with different sucrose concentrations were prepared and used to train artificial neural networks. In our study, MATLAB Neural Networks Toolbox was used and effect of different input sizes and network structures on the estimation accuracy is investigated. It is observed that using complete spectrum instead of peak point results in higher accuracy. © 2017 IEEE.en_US
dc.language.isoturen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.isversionof10.1109/SIU.2017.7960184en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArtificial neural networksen_US
dc.subjectLocalized plasmon resonanceen_US
dc.subjectSucrose concentration estimationen_US
dc.subjectUV-Vis spectroscopyen_US
dc.titleEstimation of low sucrose concentrations by UV-Vis spectroscopy and artificial neural networksen_US
dc.title.alternativeDüşük Sükroz Derişimlerinin Görünür Bölge Spektroskopisi ve Yapay Sinir A?lari ile Kestirimien_US
dc.typeconferenceObjecten_US
dc.contributor.institutionauthor
dc.relation.journal2017 25th Signal Processing and Communications Applications Conference, SIU 2017en_US
dc.contributor.departmentIzmir Institute of Technologyen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.cont.department-tempMezgil, B., Bilgisayar Mühendisli?i Bölümü, Izmir Yüksek Teknoloji Enstitüsü, Izmir, Turkey; Erdogan, D., Biyomühendishk Bölümü, Izmir Yüksek Teknoloji Enstitüsü, Izmir, Turkey; Alduran, Y., Kimya Bölümü, Izmir Yüksek Teknoloji Enstitüsü, Izmir, Turkey; Yildiz, U.H., Kimya Bölümü, Izmir Yüksek Teknoloji Enstitüsü, Izmir, Turkey; Yildiz, A.A., Biyomühendishk Bölümü, Izmir Yüksek Teknoloji Enstitüsü, Izmir, Turkey; Bastanlar, Y., Bilgisayar Mühendisli?i Bölümü, Izmir Yüksek Teknoloji Enstitüsü, Izmir, Turkeyen_US


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