Ucar, E.Sen, B.Bayir, S.2024-09-292024-09-2920121308-772Xhttps://hdl.handle.net/20.500.14619/9872This study offers an approach based on artificial neural networks for predicting the placement score of secondary education transition system (SETS). Artificial neural networks have recently become a very important method in the classification and prediction of the problems. Therefore, Multilayer Perceptron (MLP) and Radial Basis Function (RBF) which are among the most preferred artificial neural network architectures were used in this study. Created expert system was trained and tested on a database including 25000 randomly selected records of primary education 8th grade students. Results of this training and testing are comparatively presented within the study. © Sila Science.eninfo:eu-repo/semantics/closedAccessArtificial Neural NetworksMultilayer PerceptronRadial Basis FunctionSETSArticle2-s2.0-8488504491520SPEC .ISS.1N/A1330