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Estimation of Wear Resistance in Acid Solution of Dental Ceramics by Neural Network

D. Lisjak
L. Čurković
J. Živko-Babić
M. Jakovac

Puni tekst: engleski, pdf (45 KB) str. 343-343 preuzimanja: 148* citiraj
APA 6th Edition
Lisjak, D., Čurković, L., Živko-Babić, J. i Jakovac, M. (2002). Estimation of Wear Resistance in Acid Solution of Dental Ceramics by Neural Network. Acta stomatologica Croatica, 36 (3), 343-343. Preuzeto s https://hrcak.srce.hr/10195
MLA 8th Edition
Lisjak, D., et al. "Estimation of Wear Resistance in Acid Solution of Dental Ceramics by Neural Network." Acta stomatologica Croatica, vol. 36, br. 3, 2002, str. 343-343. https://hrcak.srce.hr/10195. Citirano 04.12.2020.
Chicago 17th Edition
Lisjak, D., L. Čurković, J. Živko-Babić i M. Jakovac. "Estimation of Wear Resistance in Acid Solution of Dental Ceramics by Neural Network." Acta stomatologica Croatica 36, br. 3 (2002): 343-343. https://hrcak.srce.hr/10195
Harvard
Lisjak, D., et al. (2002). 'Estimation of Wear Resistance in Acid Solution of Dental Ceramics by Neural Network', Acta stomatologica Croatica, 36(3), str. 343-343. Preuzeto s: https://hrcak.srce.hr/10195 (Datum pristupa: 04.12.2020.)
Vancouver
Lisjak D, Čurković L, Živko-Babić J, Jakovac M. Estimation of Wear Resistance in Acid Solution of Dental Ceramics by Neural Network. Acta stomatologica Croatica [Internet]. 2002 [pristupljeno 04.12.2020.];36(3):343-343. Dostupno na: https://hrcak.srce.hr/10195
IEEE
D. Lisjak, L. Čurković, J. Živko-Babić i M. Jakovac, "Estimation of Wear Resistance in Acid Solution of Dental Ceramics by Neural Network", Acta stomatologica Croatica, vol.36, br. 3, str. 343-343, 2002. [Online]. Dostupno na: https://hrcak.srce.hr/10195. [Citirano: 04.12.2020.]

Sažetak
It is known that exposure to acid causes damage to the glass surface. The aim of this study was to examine wear resistance, measuring the mass change of dental ceramics after contact with 10-3 mol dm-3 HCl at temperature of 50°C. Four samples of dental ceramics were analyzed: feldspatic ceramic, hydrothermal ceramic, glass ceramic for staining and glass ceramic for layering. The mass concentrations of eluted Na+, K+ and Ca2+ were determined
by ion chromatography (IC) and mass concentrations of Si4+ and Al3+ by UV/VIS spectrometry. Measurements were conducted after 1, 2, 3, 6 and 12 months of emersion. For the subject issue, using experimental data, the feedforward backpropagation neural network for estimation of wear resistance of dental ceramics was modelled. The results of 1, 2 and 12 months of emersion were used for the training 13-20-5 model of neural network. Comparison of experimental data and data obtained by estimation (results of 3 and 6 month intervals) of neural network shows that the applied network model provided a very good prediction of wear behavior of dental ceramics with high correlation coefficient (R) and low sum of
squared error (SSE) between measurement and estimated output values.

Hrčak ID: 10195

URI
https://hrcak.srce.hr/10195

Posjeta: 333 *