Ozdemir, R.Karahan, I. Hakki2024-09-182024-09-1820151454-41641841-7132https://hdl.handle.net/20.500.12483/7949Genetic Programming (GP) was used as a new method for formulation of grain size of electrodeposited Cui_xZnx alloys as a function of Zinc and Copper content both electrolyte and the alloy films produced by electrodeposition technique. To predict grain size 48 different expression models were conducted. Each model differs from the other with their linking function, number of genes, head size, and chromosomes. To generate databases for the new grain size formulations, testing and training sets in total of 134 samples were selected at different Zn and Cu ratios of components. The testing and training sets consisted of randomly selected 106 and 28 for the proposed models. 6 different input parameters were selected as dspacing spacing, Zn and Cu % content in the electrolyte and thin films and the test FWHM of the thin films obtained by XRD results. The output parameter was grain size of the electrodeposited Cu-Zn alloys. All results in the models indicated an applicable performance for predicting grain size of the alloys and found reliable. The predicted model showed that all of the input parameters effected on the resulting grain size.eninfo:eu-repo/semantics/closedAccessArtificial intelligencealloysMetal and metallic alloysElectrodepositionGrain SizeArticle171-214262-s2.0-84929628385Q4WOS:000350006000003Q4