Use of Artificial Neural Network in Determination of Shade, Light Curing Unit, and Composite Parameters' Effect on Bottom/Top Vickers Hardness Ratio of Composites.

Journal: BioMed research international
PMID: 30539012

Abstract

OBJECTIVE: To assess the influence of light emitting diode (LED) and quartz tungsten halogen (QTH) light curing unit (LCU) on the bottom/top (B/T) Vickers Hardness Number (VHN) ratio of different composites with different shades and determination of the most significant effect on B/T VHN ratio of composites by shade, light curing unit, and composite parameters using artificial neural network.

Authors

  • Hacer Deniz Arısu
    Gazi University Faculty of Dentistry, Department of Restorative Dentistry, Ankara, Turkey.
  • Evrim Eligüzeloglu Dalkilic
    Bezmialem Vakıf University Faculty of Dentistry, Restorative Dentistry, Istanbul, Turkey.
  • Fehime Alkan
    Gazi University Faculty of Dentistry, Department of Restorative Dentistry, Ankara, Turkey.
  • Sebnem Erol
    Gazi University Faculty of Dentistry, Department of Restorative Dentistry, Ankara, Turkey.
  • Mine Betul Uctasli
    Gazi University Faculty of Dentistry, Department of Restorative Dentistry, Ankara, Turkey.
  • Alican Cebi
    Yildiz Technical University, Faculty of Mechanical Engineering, Department of Mechanical Engineering, Heat and Thermodynamics Division, Istanbul, Turkey.

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