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

Hacer Deniz ArısuEvrim DalkilicFehime AlkanSebnem ErolMine Betul UctasliAlican Cebi

Published in: BioMed research international (2018)

The B/T VHN ratio values of different resin-based composite materials may vary depending on the light curing device. In addition, the artificial neural network results showed that the LCU and composite parameter had the most significant effect on the B/T VHN ratio of the composites. Shade has the lowest effect on the B/T VHN ratio of composites.

Keyphrases

neural network
reduced graphene oxide
mass spectrometry
high resolution
simultaneous determination