Evis, ZaferArcaklioglu, Erol2024-09-292024-09-2920110272-88421873-3956https://doi.org/10.1016/j.ceramint.2010.10.037https://hdl.handle.net/20.500.14619/4460Hardness and fracture toughness of hydroxylapatite were investigated by artificial neural network (ANN). Hardness and fracture toughness of hydroxylapatite were predicted by using its sintering temperature, sintering time, relative density, and grain size with ANN. It was found that prediction results of its hardness and fracture toughness closely matched with the experimental results. (C) 2010 Elsevier Ltd and Techna Group S.r.l. All rights reserved.eninfo:eu-repo/semantics/closedAccessHardnessHydroxylapatiteFracture toughnessArtificial neural networkArticle10.1016/j.ceramint.2010.10.0372-s2.0-7995298952111524Q1114737WOS:000289383800001Q1