Düşük Sükroz Derişimlerinin Görünür Bölge Spektroskopisi ve Yapay Sinir Aǧları ile Kestirimi

Mezgil, Bahadir; Erdogan, Duygu; Alduran, Yesim; Yildiz, Umit Hakan; Yildiz, Ahu Arslan; Bastanlar, Yahn

Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/6436

Title:	Düşük Sükroz Derişimlerinin Görünür Bölge Spektroskopisi ve Yapay Sinir Aǧları ile Kestirimi
Other Titles:	Estimation of Low Sucrose Concentrations by UV-Vis Spectroscopy and Artificial Neural Networks
Authors:	Mezgil, Bahadir Erdogan, Duygu Alduran, Yesim Yildiz, Umit Hakan Yildiz, Ahu Arslan Bastanlar, Yahn
Keywords:	Sucrose Concentration Estimation Artificial Neural Networks Localized Plasmon Resonance UV-Vis Spectroscopy
Publisher:	IEEE
Source:	Mezgil, B., Erdoğan, D., Alduran, Y., Yıldız, Ü. H., Arslan Yıldız, A., and Baştanlar, Y. (2017, May 15-18). Düşük sükroz derişimlerinin görünür bölge spektroskopisi ve yapay sinir ağları ile kestirimi. Paper presented at the 25th Signal Processing and Communications Applications Conference. doi:10.1109/SIU.2017.7960184
Series/Report no.:	Signal Processing and Communications Applications Conference
Abstract:	Low 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.
Description:	Bastanlar, Yalin/0000-0002-3774-6872
URI:	http://doi.org/10.1109/SIU.2017.7960184
ISBN:	9781509064946
ISSN:	2165-0608
Appears in Collections:	Computer Engineering / Bilgisayar Mühendisliği Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection